From 3855ed7267ca1fcaeca1a23f0f756bae2df0517c Mon Sep 17 00:00:00 2001
From: Jessica Munoz <ms.jessica.munoz@gmail.com>
Date: Fri, 30 Oct 2020 14:12:48 -0700
Subject: [PATCH 01/27] It will have Snowflake_DROP image file in assets folder

---
 site/devlabs/assets/Snowflake_DROP.png | Bin 0 -> 43989 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 site/devlabs/assets/Snowflake_DROP.png

diff --git a/site/devlabs/assets/Snowflake_DROP.png b/site/devlabs/assets/Snowflake_DROP.png
new file mode 100644
index 0000000000000000000000000000000000000000..71ca01f101cdc1c0afa08cf517d2946d63ecc5b6
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From 2beabacfdf9d82ad0f97d6e1044cd211b798b279 Mon Sep 17 00:00:00 2001
From: Jessica Munoz <ms.jessica.munoz@gmail.com>
Date: Fri, 30 Oct 2020 14:19:36 -0700
Subject: [PATCH 02/27] It will have grammer corrections

---
 site/devlabs/LoadDataWithSnowSQL.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/site/devlabs/LoadDataWithSnowSQL.md b/site/devlabs/LoadDataWithSnowSQL.md
index c0cc3faf3..afa77c3ca 100644
--- a/site/devlabs/LoadDataWithSnowSQL.md
+++ b/site/devlabs/LoadDataWithSnowSQL.md
@@ -194,7 +194,7 @@ put your data on speed-dial.
 Here is an example command to `select` everything on the `emp_basic` table.
 ![Snowflake_SELECT_image](assets/Snowflake_SELECT.png)
 Sifting through everything on your table may not be the best use of your time. Getting specific
-results is simple, with a few functions and some query syntax.
+results are simple, with a few functions and some query syntax.
 
 - [WHERE​](https://docs.snowflake.com/en/sql-reference/constructs/where.html#where) is an additional clause you can add to your select query.
 
@@ -250,7 +250,7 @@ you’re ready to close your SnowSQL connection, simply enter `!exit`.
 ## Use SnowSQL for Your Application
 Duration: 5
 
-You’ve created a Snowflake account, set up a cloud database with compute resources, and
+You’ve created a Snowflake account, set up a cloud database with compute resources and
 migrated data to the cloud with SnowSQL. Nice work! There are many advantages to using the
 cloud. Now that you know how easy getting started with Snowflake is, it’s time to consider your
 next steps.
@@ -259,4 +259,4 @@ With your firm grasp of loading data with SnowSQL, start using it to run your ap
 Continue by [​developing an application](https://docs.snowflake.com/en/developer-apps.html)​ with SnowSQL to learn how to connect your data to a
 Python application. If you already have application data, consider migrating it to the cloud with
 the same steps we used to complete the `emp_basic` table. Snowflake’s tools and
-documentation are extensive and give you the power of cloud computing.
\ No newline at end of file
+documentation is extensive and give you the power of cloud computing.
\ No newline at end of file

From 46ed13e20f0da3f57f1b283326e32a44c4b6a124 Mon Sep 17 00:00:00 2001
From: Jessica Munoz <ms.jessica.munoz@gmail.com>
Date: Fri, 30 Oct 2020 14:38:32 -0700
Subject: [PATCH 03/27] It will have final grammer edits

---
 site/devlabs/LoadDataWithSnowSQL.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/site/devlabs/LoadDataWithSnowSQL.md b/site/devlabs/LoadDataWithSnowSQL.md
index afa77c3ca..3b5c3d906 100644
--- a/site/devlabs/LoadDataWithSnowSQL.md
+++ b/site/devlabs/LoadDataWithSnowSQL.md
@@ -41,7 +41,7 @@ Be sure to check the needed computing requirements before beginning. Also, downl
 <!-- ------------------------ -->
 ## Set up Your Account and Install SnowSQL
 Duration: 15
-First, you’ll get a Snowflake account and get comfortable navigating in the web console. After downloading the SnowSQL installer, you’ll install and confirm your success.
+First, you’ll get a Snowflake account and get comfortable navigating the web console. After downloading the SnowSQL installer, you’ll install and confirm your success.
 
 1.  Create a Snowflake Account
 
@@ -108,11 +108,11 @@ current_schema();`.
 
 ```
 create or replace table emp_basic (
-first_name string ,
-last_name string ,
-email string ,
-streetaddress string ,
-city string ,
+first_name string,
+last_name string,
+email string,
+streetaddress string,
+city string,
 start_date date
 );
 ```
@@ -250,7 +250,7 @@ you’re ready to close your SnowSQL connection, simply enter `!exit`.
 ## Use SnowSQL for Your Application
 Duration: 5
 
-You’ve created a Snowflake account, set up a cloud database with compute resources and
+You’ve created a Snowflake account, set up a cloud database with compute resources, and
 migrated data to the cloud with SnowSQL. Nice work! There are many advantages to using the
 cloud. Now that you know how easy getting started with Snowflake is, it’s time to consider your
 next steps.

From 6ee137f13e9e2160661869c0c30f258ce8527fd3 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Fri, 13 Nov 2020 16:24:01 +0000
Subject: [PATCH 04/27] :construction: Add initial conversion of Security
 Authentication Pattern

Downloaded from google docs as html
Convert with pandoc:
    pandoc source.html -o new_guide.md
---
 .../security_authentication_pattern.md        | 396 ++++++++++++++++++
 1 file changed, 396 insertions(+)
 create mode 100644 site/devlabs/security_authentication_pattern.md

diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
new file mode 100644
index 000000000..aecf65fbd
--- /dev/null
+++ b/site/devlabs/security_authentication_pattern.md
@@ -0,0 +1,396 @@
+
+[INTENDED AUDIENCE]
+============================
+
+This document is for Enterprise and Solution Architects who want to
+understand the connectivity capabilities and best practices of Snowflake
+and Snowflake Partner technologies. This document [is
+not]
+implementation example may be provided.
+
+[PATTERN SUMMARY]
+=======================
+
+[]
+
+  ------------------------------- ----------------
+  [Pattern Status]
+  [Pattern Superseded by]
+  ------------------------------- ----------------
+
+[]
+
+Snowflake supports authentication methods that cover a number of
+scenarios, ranging from human interactive scenarios,  to programmatic
+service-account use cases. Client applications that connect to data
+sources like Snowflake typically have their own specifically supported
+authentication methods that vary[ from application to application.
+Consider BI tools, for example: Some support SAML 2.0 for single
+sign-on, while others don\'t. ]
+
+[This document spotlights authentication patterns that support the
+following scenarios:]
+
+1.  [Interactive, SSO authentication for humans]
+2.  [Non-interactive authentication for non-human users, such as
+    programmatic accounts and service accounts]
+
+[WHEN TO USE THESE PATTERNS]
+==================================
+
+[The patterns in this document satisfy one or more of the following
+requirements:]
+
+1.  [The organization has both cloud and on-prem tools that need to
+     authenticate to Snowflake. ]
+2.  [The organization uses an IdP to manage authentication, which
+    eliminates the need for users to maintain multiple passwords for
+    different systems. ]
+3.  The organization has service accounts that require an authentication
+    method that\'s more secure than username and password.[ ]
+4.  [Legal or contractual agreements require the organization to
+    implement specific authentication methods. ]
+
+[PATTERN DETAILS]
+=======================
+
+Across the three authentication patterns, there are five ways to
+authenticate[ to Snowflake: ]
+
+1.  [Built-in username/password authentication]
+    password is stored in the Snowflake USER object and the user
+    authenticates with Snowflake[. The USER object is  delivered as a
+    string, or the password is typed in by the user. This option is not
+    as secure as alternative options.]
+2.  [Built-in username/password authentication with multi-factor
+    authentication (MFA). ]
+     [multi-factor authentication for security. Note that this option
+    only supports Duo MFA.]
+3.  [SSO powered by SAMLv2]
+    cases.]
+4.  [Key Pair ]
+    users, such as programmatic access or service accounts[.]
+5.  [OAuth 2.0 code grant flow ]
+    Snowflake data.]
+
+[Snowflake does not recommend basic, built-in username/password
+authentication (option 1) because the alternatives offer better
+security. In situations where the only method to define a connection to
+an application is the username and password on the connection screen,
+Snowflake recommends option 2, multi-factor authentication implemented
+through Duo. ]
+
+There are human, interactive use cases where federated authentication is
+the best supported method. Any SAML 2 compatible IdP can achieve this.
+Some partner applications also deliver federated SSO experiences
+leveraging OAuth 2.0, however, client application support for federated
+authentication varies. SAML 2 is an option in some cases through
+Snowflake's \"External Browser\" mode on the desktop. When a desktop
+application is configured to use External Browser mode, a
+Snowflake-provided driver opens a new browser tab/window so the user can
+authenticate with their IdP credentials.  
+
+[Programmatic (non-human) use cases can use built-in service account
+passwords to authenticate, but only use this method as a last resort.
+Instead, consider key pair authentication combined with a secrets
+management solution where the client uses its private key, and Snowflake
+uses public keys to decrypt it and authenticate. A third option is
+External OAuth, which is the only method that allows for an SSO-based
+user credential in the programmatic scenario.]
+
+[PATTERN EXAMPLE 1]
+=========================
+
+[Now let's look at two applications, Tableau and Microsoft Power BI,
+ that support OAuth. The type of OAuth supported differs and in each
+case the client application determines which technology you should use.
+We will start with Tableau.\
+\
+When connecting to Snowflake, Tableau Desktop/Server/Online supports an
+SSO-like experience through Snowflake OAuth. This example is appropriate
+when customers want to provide an SSO-like experience to their Tableau
+user population when accessing Snowflake data. This method prompts user
+intervention to grant Tableau access to Snowflake.  An external
+authorization server is not required in this scenario. Snowflake acts as
+both the Authorization Server and the resource server.  Customers that
+manage identity centrally and wish to provide a more secure method of
+accessing Snowflake other than username and password will want to use
+this pattern. ]
+
+When connecting to Snowflake, Microsoft Power BI supports an SSO-like
+experience through External OAuth. This scenario is appropriate when
+customers want to allow Microsoft Power BI users to connect to Snowflake
+using Identity Provider credentials and an OAuth 2.0 implementation.
+Customers should take into account that this approach requires Azure AD,
+because that is what issues the token for access to Snowflake on behalf
+of the user. This approach is appropriate to consider if a customer has
+an IdP other than Azure AD. For example, if the customer IdP is Okta or
+Active Directory Federation Services (ADFS), Azure AD takes the user
+through the Security Assertion Markup Language (SAML) authentication
+process with the IdP before logging the user into the Power BI service.
+This scenario is appropriate when a customer wants to manage identity
+centrally and provide a more secure method of accessing Snowflake other
+than username and password.
+
+[SAML SSO may not be appropriate in cases that involve a customer's
+Snowflake administrators. Outages with an IdP may prevent Snowflake
+administrators whose passwords are stored in the IdP from logging in to
+Snowflake. In this case SAML SSO is not recommended and customers opt to
+maintain an administrator with a Snowflake password to manage federated
+authentication and troubleshoot any issues that occur.\
+\
+SAML SSO is also not appropriate if the client applications do not
+support that method. Consider evaluating if the application supports an
+SSO-like experience similar to Power BI and Tableau. ]
+
+Some customers use Cloud Service Provider (CSP) private networking
+technologies such as AWS PrivateLink and Azure Private Link with the use
+of SAML SSO. This is an appropriate scenario but requires a choice.
+Currently customers can only configure single sign-on to either work
+with their regular, non-PrivateLink  URL, or with the PrivateLink URL.
+
+[GUIDANCE]
+----------------
+
+### [INCOMPATIBILITIES]
+
+1.  [At the time of this writing, SAML-based SSO can only be used on
+    either public or private Snowflake endpoints at one time. This will
+    be addressed in future releases. ]
+2.  [ At the time of this writing, Snowflake only supports a single IdP
+    at a time for each Snowflake Account for SSO. ]
+3.  [For SSO the web UI only supports SAML 2.]
+
+### [OTHER IMPLICATIONS]
+
+Not applicable at the time of this writing.
+
+[DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN]
+------------------------------------------------------------
+
+[The benefit of configuring Snowflake for federated authentication is
+users need to log in just once with one set of credentials to get access
+to all corporate apps, websites, and data for which they have
+permission. This benefits users in the form of simplicity as they do not
+have to manage multiple passwords for access to SaaS applications, data,
+or websites required to perform their job duties.\
+\
+The unification of user access management means there is a central
+directory to provision and deprovision users. Configuring SSO for
+Snowflake with any SAML 2.0 compliant IdP helps customers think of
+Snowflake as many other SaaS applications that use this common protocol.
+ ]
+
+[SSO for human interactive use cases must consider the capabilities
+supported by Snowflake in concert with the authentication capabilities
+of the systems users need to authenticate to Snowflake. This matrix
+needs to be considered along with the three scenarios described to
+enable SSO for as many systems as possible.]
+
+[PATTERN EXAMPLE 2]
+============================
+
+[This pattern example compares when you should use key pair
+authentication for  non-human users versus when you should use external
+OAuth for secure, programmatic access to Snowflake data. This example is
+relevant to programmatic or service account requirements that require
+access to Snowflake.  An evaluation of supported authentication methods
+of service accounts and programmatic access requirements helps to
+determine which non-human user authentication methods to use with
+Snowflake. ]
+
+[Key pair for authentication of service accounts to Snowflake is an
+appropriate example when customers have requirements to not rely on a
+third party or for the secret to travel over the wire as part of
+authenticating service accounts. The private key can be managed
+internally by a customer without relying on cloud-based IdPs, such as
+Azure AD or Okta. Secrets not traveling over the wire is a great benefit
+of key pair authentication where the private key stays with the customer
+and the public key lives in Snowflake. ]
+
+[An additional example appropriate for key pair authentication is if the
+customer wants to remove the management of the secret from the service
+account authenticating to Snowflake.  With key pair authentication, the
+private key does not need to be in the possession of the user. The key
+is managed by code and therefore the service account itself is not in
+possession of the key. ]
+
+[This example allows for the aggressive rotation of keys without
+disrupting connectivity. Since Snowflake allows for two active public
+key values at any time, consider this as part of the pattern. This
+example  is best used with a secrets management platform like Hashicorp
+Vault, AWS Secrets Manager, or Azure Key Vault to manage the private
+key. ]
+
+[Key pair authentication is not appropriate in scenarios where existing
+key infrastructure is not in place to provide for the protection of
+private keys. This method may not be appropriate in large environments
+where the ability to distribute and manage keys becomes more
+administrative overhead than what the customer is willing to deal with.
+]
+
+External OAuth 2.0 is a supported method for non-human users to access
+Snowflake. Customers that seek to allow for SSO-based user credentials
+in the programmatic scenario should consider this option. OAuth 2.0 is
+appropriate for customers that want to centralize the management of
+tokens issued to Snowflake by service accounts to ensure that
+programmatic access or access by the service account to Snowflake data
+has to go through the External OAuth configured service. Customers with
+this requirement may have additional requirements to centralize the
+monitoring of authorizations across a number of applications. Customers
+that do not wish to pass credentials over the wire or store secrets in
+Snowflake will find this method useful.[ ]
+
+[More specific examples where OAuth is appropriate include embedding
+Snowflake into your application where the application requires access to
+Snowflake, or if SAML cannot be accomplished because there is a program
+that requires access to Snowflake then OAuth is an appropriate pattern.
+]
+
+[Customers with centralized monitoring requirements should consider
+OAuth. With OAuth, customers can see delegated access to Snowflake and
+other applications such as Salesforce in one place. This differs from
+key pair in that, if I want to audit users authenticating through key
+pair, that answer lives in Snowflake. This model also supports examples
+where customers want to deprovision service identities from a
+centralized place.  ]
+
+GUIDANCE {#h.vm1f2tovs8o9 .c22}
+--------
+
+### [INCOMPATIBILITIES]
+
+1.  Snowflake OAuth is not applicable in the programmatic scenario.
+    External OAuth should be used.
+
+### [OTHER IMPLICATIONS]
+
+[Not applicable at the time of this writing.]
+
+[DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN]
+------------------------------------------------------------
+
+[The benefits of configuring Snowflake for Key Pair Authentication
+include:]
+
+1.  [The secret does not travel over the network]
+2.  [The user does not need the private key. ]
+3.  [Snowflake allows for the aggressive rotation of key pairs.  \
+    The outcome of key pair authentication is that it is more secure
+    than username and password. ]
+
+The result of External OAuth authentication is centralized management of
+tokens issued to Snowflake, and service accounts or users used
+exclusively for programmatic access will only ever be able to use
+Snowflake data when going through the External OAuth configured service.
+Customers benefit from sessions initiated with Snowflake do not require
+a password and only initiate their sessions through external OAuth.
+
+[RELATED RESOURCES]
+
+[The following related information is available.]
+
++-----------------------------------+-----------------------------------+
+| [Snowflake Related Patterns]
++-----------------------------------+-----------------------------------+
+| [Snowflake Community Posts]
+|                                   | Snowflake]
+|                                   | ww.google.com/url?q=https://www.s |
+|                                   | nowflake.com/blog/using-sso-betwe |
+|                                   | en-power-bi-and-snowflake/&sa=D&u |
+|                                   | st=1605288006082000&usg=AOvVaw0nx |
+|                                   | aLU5NE25OrqfcHUgzSK){.c2}]
+|                                   | [[Using OAuth 2.0 with            |
+|                                   | Snowflake                         |
+|                                   | ]
+|                                   | tps://www.snowflake.com/blog/usin |
+|                                   | g-oauth-2-0-with-snowflake/&sa=D& |
+|                                   | ust=1605288006083000&usg=AOvVaw12 |
+|                                   | GuJV00K4OXlKhQbBt860){.c2}]
+|                                   |                                   |
+|                                   | [[Snowflake Service Account       |
+|                                   | Security Part                     |
+|                                   | 1]
+|                                   | www.google.com/url?q=https://www. |
+|                                   | snowflake.com/blog/snowflake-serv |
+|                                   | ice-account-securitypart-1/&sa=D& |
+|                                   | ust=1605288006083000&usg=AOvVaw1y |
+|                                   | X-eUbTn4aEreqUba4hLT){.c2}]
+|                                   |                                   |
+|                                   | [[Snowflake Service Account       |
+|                                   | Security Part                     |
+|                                   | 2]
+|                                   | ww.google.com/url?q=https://www.s |
+|                                   | nowflake.com/blog/snowflake-servi |
+|                                   | ce-account-security-part-2/&sa=D& |
+|                                   | ust=1605288006083000&usg=AOvVaw0s |
+|                                   | 4QZNkTYdzqTuQfwPbcha){.c2}]
++-----------------------------------+-----------------------------------+
+| [Snowflake Documentation]
+|                                   | Policy                            |
+|                                   | ]
+|                                   | tps://docs.snowflake.com/en/user- |
+|                                   | guide/admin-user-management.html% |
+|                                   | 23snowflake-password-policy&sa=D& |
+|                                   | ust=1605288006084000&usg=AOvVaw2W |
+|                                   | FgynzEzkV3cBcDhWN5Ch){.c2}]
+|                                   |                                   |
+|                                   | [[Federated Authentication &      |
+|                                   | SSO]
+|                                   | //www.google.com/url?q=https://do |
+|                                   | cs.snowflake.com/en/user-guide/ad |
+|                                   | min-security-fed-auth.html&sa=D&u |
+|                                   | st=1605288006085000&usg=AOvVaw2dU |
+|                                   | Szz1RKu8XPtyCsPoCJR){.c2}]
+|                                   | [[Using Key Pair                  |
+|                                   | Authentication]
+|                                   | /www.google.com/url?q=https://doc |
+|                                   | s.snowflake.com/en/user-guide/odb |
+|                                   | c-parameters.html%23:~:text%3DSno |
+|                                   | wflake%2520supports%2520using%252 |
+|                                   | 0key%2520pair,will%2520use%2520th |
+|                                   | e%2520Snowflake%2520client.&sa=D& |
+|                                   | ust=1605288006085000&usg=AOvVaw3u |
+|                                   | tYDHBxMAOZq-d5HrQxQC){.c2}]
+|                                   |                                   |
+|                                   | [[Snowflake                       |
+|                                   | OAuth                             |
+|                                   | ]
+|                                   | tps://docs.snowflake.com/en/user- |
+|                                   | guide/oauth-snowflake.html&sa=D&u |
+|                                   | st=1605288006085000&usg=AOvVaw1gq |
+|                                   | VFbZK1oe2fEYHFvprH2){.c2}]
+|                                   | [[External                        |
+|                                   | OAu                               |
+|                                   | th]
+|                                   | https://docs.snowflake.com/en/use |
+|                                   | r-guide/oauth-external.html&sa=D& |
+|                                   | ust=1605288006086000&usg=AOvVaw2q |
+|                                   | 0MPRVxuqd6TFA-SQDUeC){.c2}]
+|                                   |                                   |
+|                                   | [[Summary of Security             |
+|                                   | Featur                            |
+|                                   | es]
+|                                   | https://docs.snowflake.com/en/use |
+|                                   | r-guide/admin-security.html&sa=D& |
+|                                   | ust=1605288006086000&usg=AOvVaw2K |
+|                                   | 2ZGQhV5L_7CIm0EiBcPU){.c2}]
+|                                   |                                   |
+|                                   | []
++-----------------------------------+-----------------------------------+
+| [Partner Documentation]
+|                                   | Snowflake]
+|                                   | om/url?q=https://docs.microsoft.c |
+|                                   | om/en-us/azure/active-directory/s |
+|                                   | aas-apps/snowflake-tutorial&sa=D& |
+|                                   | ust=1605288006087000&usg=AOvVaw0n |
+|                                   | IhP1SYlZjTHNYkFPlpAS){.c2}]
+|                                   |                                   |
+|                                   | [[Configure SSO - Okta and        |
+|                                   | Snowflake]
+|                                   | le.com/url?q=https://saml-doc.okt |
+|                                   | a.com/SAML_Docs/How-to-Configure- |
+|                                   | SAML-2.0-for-Snowflake.html&sa=D& |
+|                                   | ust=1605288006087000&usg=AOvVaw2Z |
+|                                   | iWwq35T9Fzw9eQ0Jy6y3){.c2}]
++-----------------------------------+-----------------------------------+

From 1f3bd80ac508b5b6d97174818e3a18130f9032dc Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Fri, 13 Nov 2020 16:43:32 +0000
Subject: [PATCH 05/27] :construction: Revise headings and remove additional
 styling

Reformat headings to use #,##,###,#### as appropriate, using the document as a
guide. Remove addition {} delimited style blocks. Tidy up by removing []
wrappers in the text.
---
 .../security_authentication_pattern.md        | 289 +++++++++---------
 1 file changed, 139 insertions(+), 150 deletions(-)

diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index aecf65fbd..5be6f7e7e 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -1,84 +1,79 @@
+summary: Security - Authentication Pattern
+id: security_authentication_pattern
+categories: patterns
+tags: patterns, authentication, security
+status: Published
 
-[INTENDED AUDIENCE]
-============================
+# Security - Authentication Pattern
+
+## Authentication Scenarios
+### INTENDED AUDIENCE
 
 This document is for Enterprise and Solution Architects who want to
 understand the connectivity capabilities and best practices of Snowflake
-and Snowflake Partner technologies. This document [is
-not]
+and Snowflake Partner technologies. This document is
+not
 implementation example may be provided.
 
-[PATTERN SUMMARY]
-=======================
-
-[]
-
-  ------------------------------- ----------------
-  [Pattern Status]
-  [Pattern Superseded by]
-  ------------------------------- ----------------
-
-[]
+### PATTERN SUMMARY
 
 Snowflake supports authentication methods that cover a number of
 scenarios, ranging from human interactive scenarios,  to programmatic
 service-account use cases. Client applications that connect to data
 sources like Snowflake typically have their own specifically supported
-authentication methods that vary[ from application to application.
+authentication methods that vary from application to application.
 Consider BI tools, for example: Some support SAML 2.0 for single
-sign-on, while others don\'t. ]
+sign-on, while others don\'t. 
 
-[This document spotlights authentication patterns that support the
-following scenarios:]
+This document spotlights authentication patterns that support the
+following scenarios:
 
-1.  [Interactive, SSO authentication for humans]
-2.  [Non-interactive authentication for non-human users, such as
-    programmatic accounts and service accounts]
+1.  Interactive, SSO authentication for humans
+2.  Non-interactive authentication for non-human users, such as
+    programmatic accounts and service accounts
 
-[WHEN TO USE THESE PATTERNS]
-==================================
+### WHEN TO USE THESE PATTERNS
 
-[The patterns in this document satisfy one or more of the following
-requirements:]
+The patterns in this document satisfy one or more of the following
+requirements:
 
-1.  [The organization has both cloud and on-prem tools that need to
-     authenticate to Snowflake. ]
-2.  [The organization uses an IdP to manage authentication, which
+1.  The organization has both cloud and on-prem tools that need to
+     authenticate to Snowflake. 
+2.  The organization uses an IdP to manage authentication, which
     eliminates the need for users to maintain multiple passwords for
-    different systems. ]
+    different systems. 
 3.  The organization has service accounts that require an authentication
-    method that\'s more secure than username and password.[ ]
-4.  [Legal or contractual agreements require the organization to
-    implement specific authentication methods. ]
+    method that\'s more secure than username and password. 
+4.  Legal or contractual agreements require the organization to
+    implement specific authentication methods. 
 
-[PATTERN DETAILS]
-=======================
+## PATTERN DETAILS
 
 Across the three authentication patterns, there are five ways to
-authenticate[ to Snowflake: ]
+authenticate to Snowflake: 
 
-1.  [Built-in username/password authentication]
+1.  Built-in username/password authentication
     password is stored in the Snowflake USER object and the user
-    authenticates with Snowflake[. The USER object is  delivered as a
+    authenticates with Snowflake. The USER object is  delivered as a
     string, or the password is typed in by the user. This option is not
-    as secure as alternative options.]
-2.  [Built-in username/password authentication with multi-factor
-    authentication (MFA). ]
-     [multi-factor authentication for security. Note that this option
-    only supports Duo MFA.]
-3.  [SSO powered by SAMLv2]
-    cases.]
-4.  [Key Pair ]
-    users, such as programmatic access or service accounts[.]
-5.  [OAuth 2.0 code grant flow ]
-    Snowflake data.]
-
-[Snowflake does not recommend basic, built-in username/password
+    as secure as alternative options.
+2.  Built-in username/password authentication with multi-factor
+    authentication (MFA). 
+     multi-factor authentication for security. Note that this option
+    only supports Duo MFA.
+3.  SSO powered by SAMLv2
+    cases.
+4.  Key Pair 
+    users, such as programmatic access or service accounts.
+5.  OAuth 2.0 code grant flow 
+    Snowflake data.
+
+Snowflake does not recommend basic, built-in username/password
 authentication (option 1) because the alternatives offer better
 security. In situations where the only method to define a connection to
 an application is the username and password on the connection screen,
 Snowflake recommends option 2, multi-factor authentication implemented
-through Duo. ]
+through Duo. 
 
 There are human, interactive use cases where federated authentication is
 the best supported method. Any SAML 2 compatible IdP can achieve this.
@@ -90,18 +85,17 @@ application is configured to use External Browser mode, a
 Snowflake-provided driver opens a new browser tab/window so the user can
 authenticate with their IdP credentials.  
 
-[Programmatic (non-human) use cases can use built-in service account
+Programmatic (non-human) use cases can use built-in service account
 passwords to authenticate, but only use this method as a last resort.
 Instead, consider key pair authentication combined with a secrets
 management solution where the client uses its private key, and Snowflake
 uses public keys to decrypt it and authenticate. A third option is
 External OAuth, which is the only method that allows for an SSO-based
-user credential in the programmatic scenario.]
+user credential in the programmatic scenario.
 
-[PATTERN EXAMPLE 1]
-=========================
+## PATTERN EXAMPLE 1
 
-[Now let's look at two applications, Tableau and Microsoft Power BI,
+Now let's look at two applications, Tableau and Microsoft Power BI,
  that support OAuth. The type of OAuth supported differs and in each
 case the client application determines which technology you should use.
 We will start with Tableau.\
@@ -115,7 +109,7 @@ authorization server is not required in this scenario. Snowflake acts as
 both the Authorization Server and the resource server.  Customers that
 manage identity centrally and wish to provide a more secure method of
 accessing Snowflake other than username and password will want to use
-this pattern. ]
+this pattern. 
 
 When connecting to Snowflake, Microsoft Power BI supports an SSO-like
 experience through External OAuth. This scenario is appropriate when
@@ -132,7 +126,7 @@ This scenario is appropriate when a customer wants to manage identity
 centrally and provide a more secure method of accessing Snowflake other
 than username and password.
 
-[SAML SSO may not be appropriate in cases that involve a customer's
+SAML SSO may not be appropriate in cases that involve a customer's
 Snowflake administrators. Outages with an IdP may prevent Snowflake
 administrators whose passwords are stored in the IdP from logging in to
 Snowflake. In this case SAML SSO is not recommended and customers opt to
@@ -141,7 +135,7 @@ authentication and troubleshoot any issues that occur.\
 \
 SAML SSO is also not appropriate if the client applications do not
 support that method. Consider evaluating if the application supports an
-SSO-like experience similar to Power BI and Tableau. ]
+SSO-like experience similar to Power BI and Tableau. 
 
 Some customers use Cloud Service Provider (CSP) private networking
 technologies such as AWS PrivateLink and Azure Private Link with the use
@@ -149,26 +143,24 @@ of SAML SSO. This is an appropriate scenario but requires a choice.
 Currently customers can only configure single sign-on to either work
 with their regular, non-PrivateLink  URL, or with the PrivateLink URL.
 
-[GUIDANCE]
-----------------
+### GUIDANCE
 
-### [INCOMPATIBILITIES]
+#### INCOMPATIBILITIES
 
-1.  [At the time of this writing, SAML-based SSO can only be used on
+1.  At the time of this writing, SAML-based SSO can only be used on
     either public or private Snowflake endpoints at one time. This will
-    be addressed in future releases. ]
-2.  [ At the time of this writing, Snowflake only supports a single IdP
-    at a time for each Snowflake Account for SSO. ]
-3.  [For SSO the web UI only supports SAML 2.]
+    be addressed in future releases. 
+2.   At the time of this writing, Snowflake only supports a single IdP
+    at a time for each Snowflake Account for SSO. 
+3.  For SSO the web UI only supports SAML 2.
 
-### [OTHER IMPLICATIONS]
+#### OTHER IMPLICATIONS
 
 Not applicable at the time of this writing.
 
-[DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN]
-------------------------------------------------------------
+### DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN
 
-[The benefit of configuring Snowflake for federated authentication is
+The benefit of configuring Snowflake for federated authentication is
 users need to log in just once with one set of credentials to get access
 to all corporate apps, websites, and data for which they have
 permission. This benefits users in the form of simplicity as they do not
@@ -179,55 +171,54 @@ The unification of user access management means there is a central
 directory to provision and deprovision users. Configuring SSO for
 Snowflake with any SAML 2.0 compliant IdP helps customers think of
 Snowflake as many other SaaS applications that use this common protocol.
- ]
+ 
 
-[SSO for human interactive use cases must consider the capabilities
+SSO for human interactive use cases must consider the capabilities
 supported by Snowflake in concert with the authentication capabilities
 of the systems users need to authenticate to Snowflake. This matrix
 needs to be considered along with the three scenarios described to
-enable SSO for as many systems as possible.]
+enable SSO for as many systems as possible.
 
-[PATTERN EXAMPLE 2]
-============================
+## PATTERN EXAMPLE 2
 
-[This pattern example compares when you should use key pair
+This pattern example compares when you should use key pair
 authentication for  non-human users versus when you should use external
 OAuth for secure, programmatic access to Snowflake data. This example is
 relevant to programmatic or service account requirements that require
 access to Snowflake.  An evaluation of supported authentication methods
 of service accounts and programmatic access requirements helps to
 determine which non-human user authentication methods to use with
-Snowflake. ]
+Snowflake. 
 
-[Key pair for authentication of service accounts to Snowflake is an
+Key pair for authentication of service accounts to Snowflake is an
 appropriate example when customers have requirements to not rely on a
 third party or for the secret to travel over the wire as part of
 authenticating service accounts. The private key can be managed
 internally by a customer without relying on cloud-based IdPs, such as
 Azure AD or Okta. Secrets not traveling over the wire is a great benefit
 of key pair authentication where the private key stays with the customer
-and the public key lives in Snowflake. ]
+and the public key lives in Snowflake. 
 
-[An additional example appropriate for key pair authentication is if the
+An additional example appropriate for key pair authentication is if the
 customer wants to remove the management of the secret from the service
 account authenticating to Snowflake.  With key pair authentication, the
 private key does not need to be in the possession of the user. The key
 is managed by code and therefore the service account itself is not in
-possession of the key. ]
+possession of the key. 
 
-[This example allows for the aggressive rotation of keys without
+This example allows for the aggressive rotation of keys without
 disrupting connectivity. Since Snowflake allows for two active public
 key values at any time, consider this as part of the pattern. This
 example  is best used with a secrets management platform like Hashicorp
 Vault, AWS Secrets Manager, or Azure Key Vault to manage the private
-key. ]
+key. 
 
-[Key pair authentication is not appropriate in scenarios where existing
+Key pair authentication is not appropriate in scenarios where existing
 key infrastructure is not in place to provide for the protection of
 private keys. This method may not be appropriate in large environments
 where the ability to distribute and manage keys becomes more
 administrative overhead than what the customer is willing to deal with.
-]
+
 
 External OAuth 2.0 is a supported method for non-human users to access
 Snowflake. Customers that seek to allow for SSO-based user credentials
@@ -239,45 +230,43 @@ has to go through the External OAuth configured service. Customers with
 this requirement may have additional requirements to centralize the
 monitoring of authorizations across a number of applications. Customers
 that do not wish to pass credentials over the wire or store secrets in
-Snowflake will find this method useful.[ ]
+Snowflake will find this method useful. 
 
-[More specific examples where OAuth is appropriate include embedding
+More specific examples where OAuth is appropriate include embedding
 Snowflake into your application where the application requires access to
 Snowflake, or if SAML cannot be accomplished because there is a program
 that requires access to Snowflake then OAuth is an appropriate pattern.
-]
 
-[Customers with centralized monitoring requirements should consider
+
+Customers with centralized monitoring requirements should consider
 OAuth. With OAuth, customers can see delegated access to Snowflake and
 other applications such as Salesforce in one place. This differs from
 key pair in that, if I want to audit users authenticating through key
 pair, that answer lives in Snowflake. This model also supports examples
 where customers want to deprovision service identities from a
-centralized place.  ]
+centralized place.  
 
-GUIDANCE {#h.vm1f2tovs8o9 .c22}
---------
+### GUIDANCE 
 
-### [INCOMPATIBILITIES]
+#### INCOMPATIBILITIES
 
 1.  Snowflake OAuth is not applicable in the programmatic scenario.
     External OAuth should be used.
 
-### [OTHER IMPLICATIONS]
+#### OTHER IMPLICATIONS
 
-[Not applicable at the time of this writing.]
+Not applicable at the time of this writing.
 
-[DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN]
-------------------------------------------------------------
+### DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN
 
-[The benefits of configuring Snowflake for Key Pair Authentication
-include:]
+The benefits of configuring Snowflake for Key Pair Authentication
+include:
 
-1.  [The secret does not travel over the network]
-2.  [The user does not need the private key. ]
-3.  [Snowflake allows for the aggressive rotation of key pairs.  \
+1.  The secret does not travel over the network
+2.  The user does not need the private key. 
+3.  Snowflake allows for the aggressive rotation of key pairs.  \
     The outcome of key pair authentication is that it is more secure
-    than username and password. ]
+    than username and password. 
 
 The result of External OAuth authentication is centralized management of
 tokens issued to Snowflake, and service accounts or users used
@@ -286,64 +275,64 @@ Snowflake data when going through the External OAuth configured service.
 Customers benefit from sessions initiated with Snowflake do not require
 a password and only initiate their sessions through external OAuth.
 
-[RELATED RESOURCES]
+## RELATED RESOURCES
 
-[The following related information is available.]
+The following related information is available.
 
-+-----------------------------------+-----------------------------------+
-| [Snowflake Related Patterns]
-+-----------------------------------+-----------------------------------+
-| [Snowflake Community Posts]
-|                                   | Snowflake]
++-----------------------------------|-----------------------------------+
+| Snowflake Related Patterns
++-----------------------------------|-----------------------------------+
+| Snowflake Community Posts
+|                                   | Snowflake
 |                                   | ww.google.com/url?q=https://www.s |
 |                                   | nowflake.com/blog/using-sso-betwe |
 |                                   | en-power-bi-and-snowflake/&sa=D&u |
 |                                   | st=1605288006082000&usg=AOvVaw0nx |
-|                                   | aLU5NE25OrqfcHUgzSK){.c2}]
-|                                   | [[Using OAuth 2.0 with            |
+|                                   | aLU5NE25OrqfcHUgzSK)
+|                                   | Using OAuth 2.0 with            |
 |                                   | Snowflake                         |
-|                                   | ]
+|                                   | 
 |                                   | tps://www.snowflake.com/blog/usin |
 |                                   | g-oauth-2-0-with-snowflake/&sa=D& |
 |                                   | ust=1605288006083000&usg=AOvVaw12 |
-|                                   | GuJV00K4OXlKhQbBt860){.c2}]
+|                                   | GuJV00K4OXlKhQbBt860)
 |                                   |                                   |
-|                                   | [[Snowflake Service Account       |
+|                                   | Snowflake Service Account       |
 |                                   | Security Part                     |
-|                                   | 1]
+|                                   | 1
 |                                   | www.google.com/url?q=https://www. |
 |                                   | snowflake.com/blog/snowflake-serv |
 |                                   | ice-account-securitypart-1/&sa=D& |
 |                                   | ust=1605288006083000&usg=AOvVaw1y |
-|                                   | X-eUbTn4aEreqUba4hLT){.c2}]
+|                                   | X-eUbTn4aEreqUba4hLT)
 |                                   |                                   |
-|                                   | [[Snowflake Service Account       |
+|                                   | Snowflake Service Account       |
 |                                   | Security Part                     |
-|                                   | 2]
+|                                   | 2
 |                                   | ww.google.com/url?q=https://www.s |
 |                                   | nowflake.com/blog/snowflake-servi |
 |                                   | ce-account-security-part-2/&sa=D& |
 |                                   | ust=1605288006083000&usg=AOvVaw0s |
-|                                   | 4QZNkTYdzqTuQfwPbcha){.c2}]
-+-----------------------------------+-----------------------------------+
-| [Snowflake Documentation]
+|                                   | 4QZNkTYdzqTuQfwPbcha)
++-----------------------------------|-----------------------------------+
+| Snowflake Documentation
 |                                   | Policy                            |
-|                                   | ]
+|                                   | 
 |                                   | tps://docs.snowflake.com/en/user- |
 |                                   | guide/admin-user-management.html% |
 |                                   | 23snowflake-password-policy&sa=D& |
 |                                   | ust=1605288006084000&usg=AOvVaw2W |
-|                                   | FgynzEzkV3cBcDhWN5Ch){.c2}]
+|                                   | FgynzEzkV3cBcDhWN5Ch)
 |                                   |                                   |
-|                                   | [[Federated Authentication &      |
-|                                   | SSO]
+|                                   | Federated Authentication &      |
+|                                   | SSO
 |                                   | //www.google.com/url?q=https://do |
 |                                   | cs.snowflake.com/en/user-guide/ad |
 |                                   | min-security-fed-auth.html&sa=D&u |
 |                                   | st=1605288006085000&usg=AOvVaw2dU |
-|                                   | Szz1RKu8XPtyCsPoCJR){.c2}]
-|                                   | [[Using Key Pair                  |
-|                                   | Authentication]
+|                                   | Szz1RKu8XPtyCsPoCJR)
+|                                   | Using Key Pair                  |
+|                                   | Authentication
 |                                   | /www.google.com/url?q=https://doc |
 |                                   | s.snowflake.com/en/user-guide/odb |
 |                                   | c-parameters.html%23:~:text%3DSno |
@@ -351,46 +340,46 @@ a password and only initiate their sessions through external OAuth.
 |                                   | 0key%2520pair,will%2520use%2520th |
 |                                   | e%2520Snowflake%2520client.&sa=D& |
 |                                   | ust=1605288006085000&usg=AOvVaw3u |
-|                                   | tYDHBxMAOZq-d5HrQxQC){.c2}]
+|                                   | tYDHBxMAOZq-d5HrQxQC)
 |                                   |                                   |
-|                                   | [[Snowflake                       |
+|                                   | Snowflake                       |
 |                                   | OAuth                             |
-|                                   | ]
+|                                   | 
 |                                   | tps://docs.snowflake.com/en/user- |
 |                                   | guide/oauth-snowflake.html&sa=D&u |
 |                                   | st=1605288006085000&usg=AOvVaw1gq |
-|                                   | VFbZK1oe2fEYHFvprH2){.c2}]
-|                                   | [[External                        |
+|                                   | VFbZK1oe2fEYHFvprH2)
+|                                   | External                        |
 |                                   | OAu                               |
-|                                   | th]
+|                                   | th
 |                                   | https://docs.snowflake.com/en/use |
 |                                   | r-guide/oauth-external.html&sa=D& |
 |                                   | ust=1605288006086000&usg=AOvVaw2q |
-|                                   | 0MPRVxuqd6TFA-SQDUeC){.c2}]
+|                                   | 0MPRVxuqd6TFA-SQDUeC)
 |                                   |                                   |
-|                                   | [[Summary of Security             |
+|                                   | Summary of Security             |
 |                                   | Featur                            |
-|                                   | es]
+|                                   | es
 |                                   | https://docs.snowflake.com/en/use |
 |                                   | r-guide/admin-security.html&sa=D& |
 |                                   | ust=1605288006086000&usg=AOvVaw2K |
-|                                   | 2ZGQhV5L_7CIm0EiBcPU){.c2}]
+|                                   | 2ZGQhV5L_7CIm0EiBcPU)
 |                                   |                                   |
-|                                   | []
-+-----------------------------------+-----------------------------------+
-| [Partner Documentation]
-|                                   | Snowflake]
+|                                   | 
++-----------------------------------|-----------------------------------+
+| Partner Documentation
+|                                   | Snowflake
 |                                   | om/url?q=https://docs.microsoft.c |
 |                                   | om/en-us/azure/active-directory/s |
 |                                   | aas-apps/snowflake-tutorial&sa=D& |
 |                                   | ust=1605288006087000&usg=AOvVaw0n |
-|                                   | IhP1SYlZjTHNYkFPlpAS){.c2}]
+|                                   | IhP1SYlZjTHNYkFPlpAS)
 |                                   |                                   |
-|                                   | [[Configure SSO - Okta and        |
-|                                   | Snowflake]
+|                                   | Configure SSO - Okta and        |
+|                                   | Snowflake
 |                                   | le.com/url?q=https://saml-doc.okt |
 |                                   | a.com/SAML_Docs/How-to-Configure- |
 |                                   | SAML-2.0-for-Snowflake.html&sa=D& |
 |                                   | ust=1605288006087000&usg=AOvVaw2Z |
-|                                   | iWwq35T9Fzw9eQ0Jy6y3){.c2}]
-+-----------------------------------+-----------------------------------+
+|                                   | iWwq35T9Fzw9eQ0Jy6y3)
++-----------------------------------|-----------------------------------+

From 907671934df3afa5fe2da81db220b8cd00885c20 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Fri, 13 Nov 2020 17:05:47 +0000
Subject: [PATCH 06/27] :memo: Add initial version of security authentication
 pattern

Reformat table as hierarchical bullet points, reword some headings.
Remove defunct tables and other reformatted content.
---
 .../security_authentication_pattern.md        | 121 +++---------------
 1 file changed, 16 insertions(+), 105 deletions(-)

diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index 5be6f7e7e..f7ed33696 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -6,7 +6,7 @@ status: Published
 
 # Security - Authentication Pattern
 
-## Authentication Scenarios
+## INTRODUCTION
 ### INTENDED AUDIENCE
 
 This document is for Enterprise and Solution Architects who want to
@@ -279,107 +279,18 @@ a password and only initiate their sessions through external OAuth.
 
 The following related information is available.
 
-+-----------------------------------|-----------------------------------+
-| Snowflake Related Patterns
-+-----------------------------------|-----------------------------------+
-| Snowflake Community Posts
-|                                   | Snowflake
-|                                   | ww.google.com/url?q=https://www.s |
-|                                   | nowflake.com/blog/using-sso-betwe |
-|                                   | en-power-bi-and-snowflake/&sa=D&u |
-|                                   | st=1605288006082000&usg=AOvVaw0nx |
-|                                   | aLU5NE25OrqfcHUgzSK)
-|                                   | Using OAuth 2.0 with            |
-|                                   | Snowflake                         |
-|                                   | 
-|                                   | tps://www.snowflake.com/blog/usin |
-|                                   | g-oauth-2-0-with-snowflake/&sa=D& |
-|                                   | ust=1605288006083000&usg=AOvVaw12 |
-|                                   | GuJV00K4OXlKhQbBt860)
-|                                   |                                   |
-|                                   | Snowflake Service Account       |
-|                                   | Security Part                     |
-|                                   | 1
-|                                   | www.google.com/url?q=https://www. |
-|                                   | snowflake.com/blog/snowflake-serv |
-|                                   | ice-account-securitypart-1/&sa=D& |
-|                                   | ust=1605288006083000&usg=AOvVaw1y |
-|                                   | X-eUbTn4aEreqUba4hLT)
-|                                   |                                   |
-|                                   | Snowflake Service Account       |
-|                                   | Security Part                     |
-|                                   | 2
-|                                   | ww.google.com/url?q=https://www.s |
-|                                   | nowflake.com/blog/snowflake-servi |
-|                                   | ce-account-security-part-2/&sa=D& |
-|                                   | ust=1605288006083000&usg=AOvVaw0s |
-|                                   | 4QZNkTYdzqTuQfwPbcha)
-+-----------------------------------|-----------------------------------+
-| Snowflake Documentation
-|                                   | Policy                            |
-|                                   | 
-|                                   | tps://docs.snowflake.com/en/user- |
-|                                   | guide/admin-user-management.html% |
-|                                   | 23snowflake-password-policy&sa=D& |
-|                                   | ust=1605288006084000&usg=AOvVaw2W |
-|                                   | FgynzEzkV3cBcDhWN5Ch)
-|                                   |                                   |
-|                                   | Federated Authentication &      |
-|                                   | SSO
-|                                   | //www.google.com/url?q=https://do |
-|                                   | cs.snowflake.com/en/user-guide/ad |
-|                                   | min-security-fed-auth.html&sa=D&u |
-|                                   | st=1605288006085000&usg=AOvVaw2dU |
-|                                   | Szz1RKu8XPtyCsPoCJR)
-|                                   | Using Key Pair                  |
-|                                   | Authentication
-|                                   | /www.google.com/url?q=https://doc |
-|                                   | s.snowflake.com/en/user-guide/odb |
-|                                   | c-parameters.html%23:~:text%3DSno |
-|                                   | wflake%2520supports%2520using%252 |
-|                                   | 0key%2520pair,will%2520use%2520th |
-|                                   | e%2520Snowflake%2520client.&sa=D& |
-|                                   | ust=1605288006085000&usg=AOvVaw3u |
-|                                   | tYDHBxMAOZq-d5HrQxQC)
-|                                   |                                   |
-|                                   | Snowflake                       |
-|                                   | OAuth                             |
-|                                   | 
-|                                   | tps://docs.snowflake.com/en/user- |
-|                                   | guide/oauth-snowflake.html&sa=D&u |
-|                                   | st=1605288006085000&usg=AOvVaw1gq |
-|                                   | VFbZK1oe2fEYHFvprH2)
-|                                   | External                        |
-|                                   | OAu                               |
-|                                   | th
-|                                   | https://docs.snowflake.com/en/use |
-|                                   | r-guide/oauth-external.html&sa=D& |
-|                                   | ust=1605288006086000&usg=AOvVaw2q |
-|                                   | 0MPRVxuqd6TFA-SQDUeC)
-|                                   |                                   |
-|                                   | Summary of Security             |
-|                                   | Featur                            |
-|                                   | es
-|                                   | https://docs.snowflake.com/en/use |
-|                                   | r-guide/admin-security.html&sa=D& |
-|                                   | ust=1605288006086000&usg=AOvVaw2K |
-|                                   | 2ZGQhV5L_7CIm0EiBcPU)
-|                                   |                                   |
-|                                   | 
-+-----------------------------------|-----------------------------------+
-| Partner Documentation
-|                                   | Snowflake
-|                                   | om/url?q=https://docs.microsoft.c |
-|                                   | om/en-us/azure/active-directory/s |
-|                                   | aas-apps/snowflake-tutorial&sa=D& |
-|                                   | ust=1605288006087000&usg=AOvVaw0n |
-|                                   | IhP1SYlZjTHNYkFPlpAS)
-|                                   |                                   |
-|                                   | Configure SSO - Okta and        |
-|                                   | Snowflake
-|                                   | le.com/url?q=https://saml-doc.okt |
-|                                   | a.com/SAML_Docs/How-to-Configure- |
-|                                   | SAML-2.0-for-Snowflake.html&sa=D& |
-|                                   | ust=1605288006087000&usg=AOvVaw2Z |
-|                                   | iWwq35T9Fzw9eQ0Jy6y3)
-+-----------------------------------|-----------------------------------+
+- Snowflake Community Posts
+  - [Using SSO between PowerBI and Snowflake](https://www.snowflake.com/blog/using-sso-between-power-bi-and-snowflake/)
+  - [Using OAuth 2.0 with Snowflake](https://www.snowflake.com/blog/using-oauth-2-0-with-snowflake/)
+  - [Snowflake Service Account Security Part 1](https://www.snowflake.com/blog/snowflake-service-account-securitypart-1/)
+  - [Snowflake Service Account Security Part 2](https://www.snowflake.com/blog/snowflake-service-account-security-part-2/)
+- Snowflake Documentation
+  - [Snowflake Password Policy](https://docs.snowflake.com/en/user-guide/admin-user-management.html#snowflake-password-policy)
+  - [Federated Authentication & SSO](https://docs.snowflake.com/en/user-guide/admin-security-fed-auth.html)
+  - [Using Key Pair Authentication](https://docs.snowflake.com/en/user-guide/odbc-parameters.html#:~:text=Snowflake%20supports%20using%20key%20pair,will%20use%20the%20Snowflake%20client.)
+  - [Snowflake OAuth](https://docs.snowflake.com/en/user-guide/oauth-snowflake.html)
+  - [External OAuth](https://docs.snowflake.com/en/user-guide/oauth-external.html)
+  - [Summary of Security Features](https://docs.snowflake.com/en/user-guide/admin-security.html)
+- Partner Documentation
+  - [Configure SSO - Azure AD and Snowflake](https://docs.microsoft.com/en-us/azure/active-directory/saas-apps/snowflake-tutorial)
+  - [Configure SSO - Okta and Snowflake](https://saml-doc.okta.com/SAML_Docs/How-to-Configure-SAML-2.0-for-Snowflake.html)

From b44058bf95111eeb66fc2bd6d2215fbf85dc3dd3 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Wed, 23 Dec 2020 15:52:24 +0000
Subject: [PATCH 07/27] :construction: Add Security - Network Architecture
 pattern

Converted from Google Docs with pandoc. Cleaned up and reformatted table as
a list. Removed google url redirects.
---
 package-lock.json                             |  38 ---
 package.json                                  |  21 --
 .../assets/Snowflake_NAP_Connectivity.png     | Bin 0 -> 144236 bytes
 .../assets/Snowflake_NAP_PrivateLink.png      | Bin 0 -> 254530 bytes
 .../security_network_architecture_pattern.md  | 286 ++++++++++++++++++
 5 files changed, 286 insertions(+), 59 deletions(-)
 delete mode 100644 package-lock.json
 delete mode 100644 package.json
 create mode 100644 site/devlabs/assets/Snowflake_NAP_Connectivity.png
 create mode 100644 site/devlabs/assets/Snowflake_NAP_PrivateLink.png
 create mode 100644 site/devlabs/security_network_architecture_pattern.md

diff --git a/package-lock.json b/package-lock.json
deleted file mode 100644
index b3600c4dd..000000000
--- a/package-lock.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "name": "codelab-elements",
-  "version": "4.0.0",
-  "lockfileVersion": 1,
-  "requires": true,
-  "dependencies": {
-    "@bazel/bazel": {
-      "version": "0.18.1",
-      "resolved": "https://registry.npmjs.org/@bazel/bazel/-/bazel-0.18.1.tgz",
-      "integrity": "sha512-2KjB0umWsW5or78hTG/RVLmAKmeouyDjqjNsGlOY3pzpj9yqDMG5iDPJh4Q1/hXxiDmF2qZWwqWIEh55LFZXaQ==",
-      "requires": {
-        "@bazel/bazel-darwin_x64": "0.18.0",
-        "@bazel/bazel-linux_x64": "0.18.0",
-        "@bazel/bazel-win32_x64": "0.18.0"
-      },
-      "dependencies": {
-        "@bazel/bazel-darwin_x64": {
-          "version": "0.18.0",
-          "resolved": "https://registry.npmjs.org/@bazel/bazel-darwin_x64/-/bazel-darwin_x64-0.18.0.tgz",
-          "integrity": "sha512-um2OzgLL2Gd/W6joOpvrSTcqpnupliPNpwe/uE7sB0huBSJ/4Im0w2IlCTI6C7OfgMcbpUj4YxgUa9T6u6WY6w==",
-          "optional": true
-        },
-        "@bazel/bazel-linux_x64": {
-          "version": "0.18.0",
-          "resolved": "https://registry.npmjs.org/@bazel/bazel-linux_x64/-/bazel-linux_x64-0.18.0.tgz",
-          "integrity": "sha512-Rq8X8bL6SgQvbOHnfPhSgF6hp+f6Fbt2w6pRmBlFvV1J+CeUyrSrrRXfnnO1bjIuq05Ur3mV8ULA0qK6rtA5lQ==",
-          "optional": true
-        },
-        "@bazel/bazel-win32_x64": {
-          "version": "0.18.0",
-          "resolved": "https://registry.npmjs.org/@bazel/bazel-win32_x64/-/bazel-win32_x64-0.18.0.tgz",
-          "integrity": "sha512-U2TbfK8B7dc3JqXSFwj2oXCQrxEaSzCCUkAHjAOIGOKzx/HLKIKs+NJj9IQkLLr7BsMU+Qqzo8aqo11E+Vs+aA==",
-          "optional": true
-        }
-      }
-    }
-  }
-}
diff --git a/package.json b/package.json
deleted file mode 100644
index 6e23cfd6a..000000000
--- a/package.json
+++ /dev/null
@@ -1,21 +0,0 @@
-{
-  "name": "codelab-elements",
-  "version": "1.0.1",
-  "description": "Custom elements for codelabs",
-  "main": "index.js",
-  "scripts": {
-    "clean": "node_modules/.bin/bazel clean",
-    "build": "node_modules/.bin/bazel build npm_dist",
-    "test": "node_modules/.bin/bazel test --test_output=all codelab-elements/demo:hello_test",
-    "pub": "npm run clean && npm run build && cd bazel-genfiles && unzip npm_dist.zip -d npm_dist && npm publish npm_dist"
-  },
-  "author": "Google",
-  "repository": {
-    "type": "git",
-    "url": "https://github.com/googlecodelabs/tools.git"
-  },
-  "license": "Apache-2.0",
-  "devDependencies": {
-    "@bazel/bazel": "^0.18.1"
-  }
-}
diff --git a/site/devlabs/assets/Snowflake_NAP_Connectivity.png b/site/devlabs/assets/Snowflake_NAP_Connectivity.png
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diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
new file mode 100644
index 000000000..4d645fd1d
--- /dev/null
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -0,0 +1,286 @@
+summary: Security - Network Architecture Pattern
+id: security_network_architecture_pattern
+categories: patterns
+tags: patterns, security, network
+status: Published
+
+# Security - Network Architecture Pattern
+
+## INTENDED AUDIENCE
+
+This document is for Enterprise and Solution Architects who want to
+understand the connectivity capabilities and best practices of Snowflake
+and Snowflake Partner technologies. This document is
+not intended for use by implementation teams, although an
+implementation example is provided. 
+
+## PATTERN SUMMARY
+
+SaaS-style cloud data platforms present a number of network
+connectivity challenges. This is especially true with regards to
+security. In the past, traditional data platforms lived in the deepest,
+ most interior parts of the organization's networks and benefited from
+layered security defenses that built up over time. With data workloads
+migrating to the cloud, architects have had to rethink data security.
+"Zero Trust" security models are popular for applications, but are they
+the right choice to protect the data itself? Understandably, architects
+are wary.
+
+This document seeks to allay Enterprise and Solution Architects'
+concerns. In the following pages, we present connectivity patterns that
+architects can combine as needed to address different security
+requirements.
+
+Three security measures comprise these connectivity patterns. These
+include:
+
+1.  **Leveraging Snowflake's out-of-the-box network security**. All
+    Snowflake communications have multiple layers of built-in security
+    (described below). This is the default,
+    "do-nothing-extra" security option, which is the most common
+    choice among Snowflake customers.
+2.  **Layering on built-in Network Policies**. In addition to
+    out-of-the-box security, security-sensitive organizations typically
+    implement Network Policies to specify which IP addresses can connect
+    to the Snowflake data platform. 
+3.  **Integrating CSP capabilities that may add more security to network
+    connectivity**. A smaller number of organizations choose to
+    use cloud service provider features such as private networking if
+    they determine it's appropriate. 
+
+Alone or in combination, these measures comprise network connectivity
+patterns that are extremely secure.
+
+## WHEN TO USE 
+
+Consider patterns that incorporate Network Policies or private
+networking if any of the following requirements describe your
+organization: 
+
+1.  Your organization requires SaaS and other cloud platforms to
+    restrict communications to only your organization's authorized
+    networks
+2.  Your organization is bound by third-party regulatory guidance to
+    only allow specific kinds of ingress and egress communications with
+    cloud providers 
+3.  Your organization wants to run sensitive workloads that require
+    more stringent security controls that include controls specific to
+    networking
+4.  Your organization is bound by legal or contractual agreements that
+    require specific network controls 
+
+If your organization does not [have one or more of these
+requirements, then the out-of-the-box Snowflake network security
+controls are likely more than sufficient to meet your needs. 
+
+## PATTERN DETAILS
+
+All Snowflake network connectivity architectures include five basic
+connections:
+
+1.  The connection between the Snowflake driver/connector and
+    the Snowflake account URL, e.g. `acme.us-east-1.snowflakecomputing.com`
+    
+2.  The connection between the Snowflake driver/connector and one or
+    more OCSP providers, e.g. `ocsp.digicert.com`
+
+3.  The connection between the Snowflake driver/connector and the
+    Snowflake Internal Stage,
+    e.g. `randomname1stg.blob.core.windows.net`
+4.  The connection between the Snowflake service and the customer-owned
+    cloud storage e.g. a customer's GCS bucket
+5.  The connection between the users' browsers and the Snowflake Apps
+    layer e.g. `apps.snowflake.com`
+
+This document describes the first three connections in detail. The
+first and fifth connections are functionally equivalent in this context.
+A full discussion of the fourth connection, which is connectivity from
+Snowflake to your organization's resources, will be covered in a
+separate article.
+
+There are two types of data flowing on these network paths: 
+
+-   The first is the organization's data (aka customer data[),
+    which is the information the organization is interested in
+    protecting. 
+-   The second is OCSP (Online Certificate Status Protocol)
+    information, which is used to validate certificates used to
+    establish TLS 1.2 tunnels for network communications. Only the OCSP
+    traffic uses an unencrypted channel over port 80. There are patterns
+    where your organization may use TLS inspection of some kind, which
+    may make this OCSP communication moot, but those discussions are out
+    of scope for this document.
+
+The first and most common pattern is to leverage Snowflake's
+out-of-the-box connectivity. This uses TLS 1.2 encryption for all
+customer data communications. It also leverages OCSP checking to ensure
+the validity and integrity of the certificates being used for
+establishing the TLS tunnels. In Figure 1, you see a diagram showing
+connections 1, 2, 3, and 4. (As 4 and 5 are out of scope, we will focus
+on parts 1, 2, and 3.)
+
+
+
+ ![Snowflake_NAP_Connectivity-image](assets/Snowflake_NAP_Connectivity.png)
+ Figure 1. Diagram of Snowflake's out-of-the-box network
+ connectivity. Azure is shown, but the pattern is the same for AWS,
+ Azure, and GCP. The only thing that changes are the CSP component
+ names.
+
+A common misconception is that connectivity to the Snowflake Internal
+Stage is optional, but it's not. However, using an External Stage,
+which leverages the customer's cloud storage for use with Snowflake,
+is optional. (The External Stage connection is labeled as number four
+in Figure 1). There is no action needed to use this pattern of
+communication other than to not actively block any aspect of the
+connectivity. 
+
+The second pattern is to  add Snowflake Network Policies to the
+out-of-the-box connectivity shown in Figure 1. The full scope of options
+for [Network Policies is discussed at length in the Snowflake
+documentation(https://docs.snowflake.com/en/user-guide/network-policies.html&sa=D&ust=1608660555636000&usg=AOvVaw0fln45ribJ65YZRAZd3B09).
+For this discussion we will only note a few details that could affect
+architectural considerations:
+
+1.  Network Policies use IP CIDR ranges as inputs, and contain both
+    Allow
+2.  One can apply a Network Policy to the entire Snowflake account, to
+    specific integrations that have endpoints for network communications 
+    exposed on channel 1 e.g.
+    [SCIM](https://docs.snowflake.com/en/user-guide/scim-okta.html%23managing-scim-network-policies&sa=D&ust=1608660555637000&usg=AOvVaw0TwE5tPJz7HWyKKAhghe7X),
+    or to specific Snowflake Users. The most specific Policy always
+    wins. 
+3.  There can be only one active Network Policy in any given context at
+    one time (e.g. only one per account, integration, or
+    user).
+
+The third pattern incorporates integration with Cloud Service Provider
+(CSP) private networking options. Right now the integrations available
+are with [AWS
+PrivateLink](https://docs.snowflake.com/en/user-guide/admin-security-privatelink.html&sa=D&ust=1608660555637000&usg=AOvVaw3DS8Sw1mfTxXHH-mQUUDkj) and
+[Azure Private
+Link](https://docs.snowflake.com/en/user-guide/privatelink-azure.html&sa=D&ust=1608660555637000&usg=AOvVaw0xFGBgO9lxih6LxWZYi60m).
+These offerings from the CSPs offer a point-to-point, client-side
+initiated private network channel for communications. They do not have
+the downsides of VPN or peering, but still offer a point-to-point
+network channel. Figure 2 offers a view of how this alters the
+connectivity. 
+
+![Snowflake_NAP_PrivateLink-image](assets/Snowflake_NAP_PrivateLink.png)
+
+Figure 2. Diagram showing Snowflake network connectivity integrated
+with CSP private networking. AWS is shown, but the pattern is the same
+for Azure and GCP. The only thing that changes are the CSP component
+names.
+
+Figure 2 shifts the origin of communication from a network outside the
+CSP to one inside the CSP, but it is also possible to accomplish this
+integration if communicating from outside the CSP network
+(e.g. from on premises). This uses more network components to
+form a connection between the organization's network and the CSP's
+(e.g. [AWS Direct Connect and BGP settings), but those components
+are not Snowflake specific and therefore out of scope for this
+discussion. 
+
+From a technical point of view, the communications happening for parts
+1, 2, and 3 of the Snowflake network pattern do not change in the
+PrivateLink integration pictured in Figure 2. What changes is that the
+Snowflake driver or connector is told to connect to a privately hosted
+DNS address in the CSP infrastructure, which then points to a private
+endpoint in the organization's CSP private network. The Snowflake
+driver or connector is making an altered DNS call because the settings
+tell it to, and then everything that follows is the normal functioning
+of DNS and routing. The Snowflake driver or connector is unaware of all
+the DNS and routing work, and therefore there is full support for this
+in all of the platforms for which Snowflake has drivers or connectors.
+
+## PATTERN EXAMPLE
+
+Let's look at a real world example of how a customer applied all of
+these approaches in the same deployment. This customer is in the
+pharmaceutical industry and had many different workloads on Snowflake,
+and, as a result, many different users consuming data from the platform.
+The main challenge the customer had to overcome was simultaneously
+meeting the needs of the many employees they had in the field using
+reports and other ad hoc information, with the highly regulated
+information that was being loaded, unloaded, and used in complicated
+server-side analytics in order to produce the data users would consume.
+The core of the challenge was serving the users without forcing them to
+use cumbersome VPN connections or other client-side infrastructure to
+get their laptops and other devices onto the private networks where the
+CSP private networking integrations would live. 
+
+The solution was to set up multiple paths to the Snowflake Data
+Platform that would be used in different conditions. The key insight was
+when the architects involved realized that the users who were outside
+the corporate networks were never handling sensitive information in an
+unmasked form. Since the real information---and therefore the real
+risk---was not being exposed, the out-of-the-box Snowflake networking
+protections more than met the customer's minimum network security
+policies for non-protected information. Most of their users were able to
+use default networking for consuming reports and other information in
+the field. 
+
+Where there was data loading, unloading, and large scale analytics going
+on that did handle sensitive information in its unmasked form, the
+organization leveraged two extra controls in combination. First, they
+used Snowflake built-in Network Policies to lock down all the service
+account users doing this work so that they could only communicate from
+their cloud private networks where all the processing was taking place.
+Second, they integrated these communications with their CSP's private
+networking features to ensure that the channels were all point-to-point
+and client-side initiated. 
+
+Certain users had access that straddled the barrier between information
+in its masked and unmasked forms. The most challenging was the growing
+number of data scientists this organization was supporting. These users
+would design models and do engineering on masked data, but then do large
+scale training and apply their work using unmasked data. Because they
+needed to move between two network contexts, they would use their
+personal accounts with the same network connectivity as all other users
+in the field. But they also had to access service accounts that were
+restricted to running server-side using CSP private-networking
+integrated networking. To access these accounts, they used VPN
+connectivity to connect to systems running in their CSP private
+networks. Other users that also needed both sets of access used similar
+approaches.
+
+## GUIDANCE 
+
+### MISAPPLICATIONS TO AVOID 
+
+1.  Any design where a Network Policy is being used for every user
+    is likely on the wrong path based on all evidence at the time
+    of this writing. 
+2.  Many organisations will attempt to apply CSP private networking
+    technologies to many communication channels where it provides little
+    additional security, but does add a lot of operational overhead.
+    Consider CSP private networking only where large volumes of data or
+    extremely sensitive data is flowing.
+
+### INCOMPATIBILITIES
+
+1.  At the time of this writing, SAML-based SSO can only be used
+    on either public URL or private URL (for CSP private networking
+    integration) Snowflake endpoints at one time. This will be addressed
+    in future releases.
+
+## RELATED RESOURCES
+
+
+- Snowflake community posts
+ - [Setup Considerations When Integrating AWS PrivateLink with Snowflake](https://community.snowflake.com/s/article/Setup-Considerations-When-Integrating-AW S-PrivateLink-With-Snowflake&sa=D&ust=1608660555642000&usg=AOvVaw0 KBxtnlWlRTigNdRvsnmvH) 
+ - [HOWTO: Troubleshoot PrivateLink Configuration for Snowflake](https://community.snowflake.com/s/article/HowTo-Troubleshoot-Privatelink-configuration-for-Snowflake&sa=D&ust=1608660555642000&usg=AOvVaw09an1usJu4boVLW6RZrJlg)
+ - [HOWTO: Block a Specific IP in Snowflake](https://community.snowflake.com/s/article/How-to-block-a-specific-IP-address-using-Network-Policies-in-Snowflake&sa=D& ust=1608660555643000&usg=AOvVaw1d HDpoNWSqD-DvHmrdyOUL)
+- Snowflake documentation
+ - [Snowflake Network Policies](https://docs.snowflake.com/en/user-guide/network-policies.html&sa=D&ust=1608660555644000&usg=AOvVaw1HnlcIB716s1iY2eSwmLN1)
+ - [Applying Network Policy to a specific SCIM integration](https://docs.snowflake.com/en/user-guide/scim-okta.html%23managing-scim-network-policies&sa=D&ust=1608660555645000&usg=AOvVaw1KoDtqquPq5rdvXiPIp)
+   - e.g. [Okta in this case](https://docs.snowflake.com/en/user-guide/scim-okta.html%23managing-scim-network-policies&sa=D&ust=1608660555645000) 
+ - [Snowflake AWS PrivateLink Integration](https://docs.snowflake.com/en/user-guide/network-policies.html&sa=D&ust=1608660555646000&usg=AOvVaw31CecZFXzAuqdn_LfXd82e) 
+ - [Snowflake Azure Private Link Integration](https://docs.snowflake.com/en/user-guide/privatelink-azure.html&sa=D&ust=1608660555647000&usg=AOvVaw0tSUK-gnAAZU5cRcaTYVm3) 
+ - [Summary of Snowflake Security Features](https://docs.snowflake.com/en/user-guide/admin-security.html&sa=D&ust=1608660555647000&usg=AOvVaw2BYQEouQULFaVQwAYCpL6y)
+- Partner documentation 
+ - [AWS PrivateLink Product Page](https://aws.amazon.com/privatelink/&sa=D&ust=1608660555648000&usg=AOvVaw16Wgd1tOdpAgnOMU3hiYII) 
+ - [AWS PrivateLink Documentation](https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html%23what-is-privatelink&sa=D&ust=1608660555649000&usg=AOvVaw1Q1lpnr0FYZf_X3kHthIya)
+ - [Azure Private Link Product Page](https://azure.microsoft.com/en-us/services/private-link/&sa=D&ust=1608660555649000&usg=AOvVaw1xbD4uzi6A3RCbUYZ0KBiK)
+ - [Azure Private Link Documentation](https://docs.microsoft.com/en-us/azure/private-link/private-link-overview&sa=D&ust=1608660555650000&usg=AOvVaw2BGDTLXGqLToQI-Svcljfh)

From e6eeaac7568f7f1647804a22b5910366c0bf46cb Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Wed, 23 Dec 2020 16:07:10 +0000
Subject: [PATCH 08/27] :construction: Add pandoc converted Access to Sensitive
 objects

Used `-t markdown-strict` which appears to produce a cleaner output
---
 .../security_access_to_sensitive_objects.md   | 403 ++++++++++++++++++
 1 file changed, 403 insertions(+)
 create mode 100644 site/devlabs/security_access_to_sensitive_objects.md

diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
new file mode 100644
index 000000000..dbf3feac0
--- /dev/null
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -0,0 +1,403 @@
+<span class="c39">Access to Sensitive Objects</span>
+====================================================
+
+Version 1.0
+
+<span class="c10"></span>
+
+------------------------------------------------------------------------
+
+<span class="c33 c45"></span>
+
+<span class="c2">PATTERN SUMMARY</span>
+=======================================
+
+<span class="c10">The pattern outlined in this document provides an
+approach for granting access to schemas containing sensitive data
+without creating a fork in the RBAC role hierarchy.  Forking the RBAC
+hierarchy is commonly prescribed in order to provide one role set which
+grants access to non-sensitive data and another  with sensitive data
+access. This privileged role must then be properly inherited and/or
+activated by the end user, and it results in a duplication of the
+privileges set; one for non sensitive data and one for sensitive.
+ </span>
+
+<span class="c10">This pattern proposes alternatively, to instead grant
+a privilege set to all objects in a database regardless of their
+sensitivity.  It is then only the USAGE privilege, which is controlled
+by a separate database specific sensitive role, that would be inherited
+by the top level role.  This effectively eliminates the fork in the
+hierarchy and simplifies the number of roles a user must request access
+to . Instead of the user having to request a sensitive role with its own
+access privileges, they can  simply request  the enabling of sensitive
+data access.</span>
+
+This pattern does not prescribe  how to populate these objects,perform
+row or column level security, or grant roles to users; each of which may
+also be required.  The scope of this pattern is simply how to provide
+visibility to the objects themselves.  
+
+<span class="c10"></span>
+
+<span class="c2">WHEN TO USE THIS PATTERN</span>
+================================================
+
+<span class="c11"></span>
+
+<span id="t.9da8e9ff4d7ce2b01d18dae6bd52c83aadee8acf"></span><span
+id="t.0"></span>
+
+<table class="c44">
+<tbody>
+<tr class="odd">
+<td><p><span class="c41">Pattern Status</span></p></td>
+<td><p><span class="c6">ACTIVE</span></p></td>
+</tr>
+<tr class="even">
+<td><p><span class="c41">Pattern Superseded by</span></p></td>
+<td><p><span class="c6">NONE</span></p></td>
+</tr>
+</tbody>
+</table>
+
+<span class="c10"></span>
+
+<span class="c10">This pattern implements well when the following
+conditions are true:</span>
+
+1.  <span class="c10">Within a database, datasets are grouped by schema
+    by which access must be controlled</span>
+2.  <span class="c10">Access to these schemas is controlled by an
+    identity governance & access management system.  </span>
+3.  <span class="c10">User request access to specific data sets which
+    must be approved</span>
+4.  <span class="c10">Access roles are inherited by some level of
+    functional role.  The functional role could be at a group or
+    individual level.  </span>
+
+<span class="c15"></span>
+
+<span class="c15"></span>
+
+<span class="c2">PATTERN DETAILS</span>
+=======================================
+
+Objects in Snowflake are contained in a hierarchy of containers.
+ Databases contain schemas which contain objects.  Each level of the
+hierarchy has its own set of privileges.  In order to be able to
+successfully access data in the lowest level objects which contain data
+- such as table or a view - the role must have the appropriate
+privileges on all objects higher in the hierarchy.  A role must first
+have the privilege to view a database, commonly granted with the
+database usage privilege.  Then the role can only see schemas for
+which<span class="c10"> the schema usage privilege has been granted.
+ Finally the user must have privileges on the underlying objects.
+ </span>
+
+Although the object containers - meaning database, schema and tables
+(for example) -  are hierarchical, the privileges can be granted out of
+order, which is what this pattern is suggesting.  A role inherits a
+certain privilege set<span class="c10"> on all objects in a database -
+this privilege set can be any combination of CRUD privileges.  The role
+is then granted usage on the database.  At this point the role can see
+the database, and has common privileges on objects - but is unable to
+view the underlying objects because no schema level privileges have been
+granted.  Now, a user can request permissions to specific schemas.  The
+only privilege the security admin must grant is the usage privilege.
+ Once that usage is granted and properly inherited by a functional role
+to aggregate the object level privileges along with the usage privilege,
+ the user will be able to access the data set.  </span>
+
+The granting of these schema level roles is commonly managed by an
+enterprise identity governance and access management system.  Within
+this enterprise system, a user requests access to specific data sets
+which then follows an approval process.  Once the proper approvals have
+occurred, the role containing the usage privilege on the approved schema
+is assigned to the requesting user's functional role.  This granting and
+inheritance can be implemented using either SCIM2.0 API, JDBC calls to
+customer stored procedures, or calling procedures or executing SQL
+directly in Snowflake<span class="c10">.</span>
+
+<span class="c10">Key Points</span>
+
+1.  Even if a role has privileges on an object, if it does not have the
+    USAGE privilege on the database and schema containing the object it
+    will not be visible to that role.
+     <sup><a href="#cmnt1" id="cmnt_ref1">[a]</a></sup>
+2.  <span class="c10">For each schema containing sensitive data a role
+    is created and granted the USAGE privilege on that schema</span>
+3.  <span class="c10">This sensitive role is then granted to the
+    functional role which has been approved to access the sensitive
+    data. </span>
+
+<span class="c2">PATTERN EXAMPLE</span>
+=======================================
+
+<span class="c10">This is a working example of how this pattern could be
+implemented, within a particular context.</span>
+
+<span class="c27">Business Scenario</span>
+------------------------------------------
+
+1.  <span class="c10">Snowflake will integrate with an enterprise
+    permissions management catalog system.  All roles in Snowflake which
+    a customer will be granted need to be listed in this catalog.  Given
+    the volume of databases in schemas for the project, an emphasis on
+    role reduction must be made.</span>
+2.  <span class="c10">The data set in snowflake will include two
+    sensitivity classifications.  Sensitive, which will have limited
+    access,  and non sensitive which all users will have access
+    to.</span>
+
+<span class="c27">Pattern Details</span>
+----------------------------------------
+
+1.  <span class="c10">Database PROD\_DB contains two schemas,
+    PUBLIC\_SCHEMA and SENSITIVE\_SCHEMA.</span>
+2.  <span class="c10">A PROD\_DB\_RO role is created.  The following
+    privileges are granted to the role</span>
+
+<!-- -->
+
+1.  <span class="c10">USAGE on PROD\_DB</span>
+2.  <span class="c10">USAGE on PUBLIC\_SCHEMA</span>
+3.  <span class="c10">SELECT on all TABLES in PROD\_DB</span>
+
+<!-- -->
+
+1.  <span class="c10">A PROD\_DB\_RW role is created.  The following
+    privileges are granted to the role</span>
+
+<!-- -->
+
+1.  <span class="c10">INSERT & UPDATE on all TABLES in  database
+    PROD\_DB</span>
+2.  <span class="c10">PROD\_DB\_RO is granted to PROD\_DB\_RW</span>
+
+<!-- -->
+
+1.  <span class="c10">A PROD\_DB\_SENSITIVE is created.  The following
+    privileges are granted to the role:</span>
+
+<!-- -->
+
+1.  <span class="c10">USAGE on schema SENSITIVE\_SCHEMA</span>
+2.  <span class="c10">Note there are no lower level object grants to the
+    SENSITIVE schema role.  It also is not inherited nor does it inherit
+    other object access roles.  </span>
+
+<!-- -->
+
+1.  <span class="c10">A functional role, IT\_ANALYTICS\_ROLE  is
+    created.  This role will inherit the access level roles and be
+    granted to users.  This role will be activated by the user.</span>
+2.  <span class="c10">Within the enterprise identity governance and
+    access management solution, the following roles will be listed for a
+    user to request, with a user required to select at least one from
+    each category:</span>
+
+<!-- -->
+
+1.  <span class="c10">Access roles:</span>
+
+<!-- -->
+
+1.  <span class="c10">PROD\_DB\_RO</span>
+2.  <span class="c10">PROD\_DB\_RW</span>
+3.  <span class="c10">PROD\_DB\_SENSITIVE</span>
+
+<!-- -->
+
+1.  <span class="c10">Functional Roles</span>
+
+<!-- -->
+
+1.  <span class="c10">IT\_ANALYTICS\_ROLE</span>
+
+<!-- -->
+
+1.  <span class="c10">Scenario 1: Bill, an IT Business Analyst, requires
+    read write access to non sensitive data in PROD\_DB.  </span>
+
+<!-- -->
+
+1.  <span class="c10">Bill already has the IT\_ANALYTICS granted to his
+    user.  </span>
+2.  <span class="c10">Bill requests PROD\_DB\_RW.  </span>
+3.  <span class="c10">The PROD\_DB\_RW, after following the approval
+    process, is granted the IT\_ANALYTICS role.  Bill now has the
+    read/write on all objects in the public schema. </span>
+
+<!-- -->
+
+1.  <span class="c10">Scenario 2: Alice, an HR Business Analyst,
+    requires read access to PROD\_DB but also requires access to payroll
+    data kept within the sensitive schema.  </span>
+
+<!-- -->
+
+1.  <span class="c10">Alice already has the HR\_ANALYSTS functional role
+    granted to her user.</span>
+2.  <span class="c10">Alice requests the PROD\_DB\_RO role</span>
+3.  <span class="c10">Alice requests the PROD\_DB\_SENSITIVE role</span>
+4.  <span class="c10">After the appropriate approval process, the roles
+    are granted to the HR\_ANALYSTS role and Alice can now read all
+    tables in both the PUBLIC and SENSITIVE schemas.  </span>
+
+<span class="c10"></span>
+
+<span
+style="overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 507.90px; height: 804.50px;">![](images/image2.png)</span>
+
+<span class="c30">Fig 1.0 Suggested Approach</span>
+
+<span
+style="overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 497.82px; height: 689.50px;">![](images/image3.png)</span>
+
+<span class="c30">Fig 2.0 Traditional Pattern</span>
+
+<span class="c10"></span>
+
+<span class="c10"></span>
+
+<span class="c10"></span>
+
+<span class="c2">GUIDANCE</span>
+================================
+
+<span class="c31">MISAPPLICATIONS TO AVOID</span>
+-------------------------------------------------
+
+<span class="c10">TBD</span>
+
+<span class="c31">INCOMPATIBILITIES</span>
+------------------------------------------
+
+1.  <span class="c10">This pattern assumes a user should have the same
+    access level permissions on objects in a database.  If the user
+    indeed requires separate permissions levels for schemas contained
+    within the same database the model may need to be extended or a
+    different model used.  </span>
+
+<span class="c31">OTHER IMPLICATIONS</span>
+-------------------------------------------
+
+1.  Some applications which integrate with SCIM may not support all
+    functionality required to properly manage this approach requiring
+    custom<sup><a href="#cmnt2" id="cmnt_ref2">[b]</a><a href="#cmnt3" id="cmnt_ref3">[c]</a><a href="#cmnt4" id="cmnt_ref4">[d]</a><a href="#cmnt5" id="cmnt_ref5">[e]</a><a href="#cmnt6" id="cmnt_ref6">[f]</a></sup>\` SCIM
+    or JDBC integration.
+    <sup><a href="#cmnt7" id="cmnt_ref7">[g]</a><a href="#cmnt8" id="cmnt_ref8">[h]</a><a href="#cmnt9" id="cmnt_ref9">[i]</a><a href="#cmnt10" id="cmnt_ref10">[j]</a><a href="#cmnt11" id="cmnt_ref11">[k]</a></sup>
+
+<span class="c10"></span>
+
+<span class="c36">DESIGN PRINCIPLES ENABLED BY THIS PATTERN</span>
+
+<span class="c10">With a traditional approach of having non-sensitive
+and sensitive versions of RBAC roles for a database and/or schema, the
+user must determine both which dataset they should have access to as
+well as which level of access they should have to this data - and
+request access to that role.  This may not be intuitive to users not
+properly trained and experienced with Snowflake RBAC.  With the model
+proposed in this pattern, the access level has already been determined,
+likely based on the organizational role of the user.  The only request
+the user is making is which datasets the user should be able to view.
+ </span>
+
+<span class="c10"></span>
+
+<span class="c36">BENEFITS ENABLED BY THIS PATTERN</span>
+
+<span class="c10">The benefit of this pattern is when a user is
+ reviewing the possible roles to request access to, they only see three
+roles and must decide 1) what privilege level do I need and 2) do I need
+access to sensitive data.  These decisions are made independently of
+each other.  In a typical model, this same hierarchy would require at
+least 4 roles, and each role would be a distinct set of combined
+privileges. More importantly, a legacy model would require at least 9
+grants to be made of privileges to roles whereas the suggested pattern
+only requires 5.  These numbers may seem insignificant, however as
+implementations of snowflake grow and evolve, simplification of RBAC
+hierarchies will be critical to successful extensibility and ease of
+management.  </span>
+
+1.  <span class="c10">Simplified RBAC Hierarchy</span>
+2.  <span class="c10">Simplified enterprise catalog of available
+    roles</span>
+3.  <span class="c10">More intuitive access selections for common
+    users</span>
+4.  Simplified integration with <span class="c0">IAM (Identity and
+    Access Management) or IGA (Identity Governance and Administration)
+    tools</span>
+
+<span class="c36">RELATED RESOURCES</span>
+
+<span class="c10">The following related information is available.</span>
+
+<span id="t.4dbae366229713e90ad0d3003f2f186efd04c318"></span><span
+id="t.1"></span>
+
+<table class="c44">
+<tbody>
+<tr class="odd">
+<td><p><span class="c10">Snowflake Related Patterns</span></p></td>
+<td><p><span class="c10"></span></p></td>
+</tr>
+<tr class="even">
+<td><p><span class="c10">Snowflake Community Posts</span></p></td>
+<td><p><span class="c10"></span></p></td>
+</tr>
+<tr class="odd">
+<td><p><span class="c10">Snowflake Documentation</span></p></td>
+<td><p><span class="c10"></span></p></td>
+</tr>
+<tr class="even">
+<td><p><span class="c10">Partner Documentation</span></p></td>
+<td><p><span class="c10"></span></p></td>
+</tr>
+</tbody>
+</table>
+
+<span class="c10"></span>
+
+<span class="c32">                                                                                </span><span class="c32 c43">Page </span><span style="overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 110.71px; height: 28.50px;">![](images/image1.png)</span>
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+<a href="#cmnt_ref1" id="cmnt1">[a]</a><span class="c3">Clever! But come
+to think of it, it does concern me that it will be confusing to
+auditors.</span>
+
+<a href="#cmnt_ref2" id="cmnt2">[b]</a><span class="c3">Given that SCIM
+can never handle any actual GRANTS, even a custom SCIM  integration
+wouldn't be feasible.</span>
+
+<a href="#cmnt_ref3" id="cmnt3">[c]</a><span class="c3">you are
+referring to SCIM not making the privilege grants, only grants of roles
+correct?</span>
+
+<a href="#cmnt_ref4" id="cmnt4">[d]</a><span class="c3">Yes</span>
+
+<a href="#cmnt_ref5" id="cmnt5">[e]</a><span class="c3">I am not sure I
+follow here and not making the privilege grants. What are the
+limitations with SCIM?</span>
+
+<a href="#cmnt_ref6" id="cmnt6">[f]</a><span class="c3">I believe the
+/Groups endpoint can grant roles to users or roles, but not grant
+specific privileges to roles.</span>
+
+<a href="#cmnt_ref7" id="cmnt7">[g]</a><span class="c3">Given that SCIM
+can never handle any actual GRANTS, even a custom SCIM  integration
+wouldn't be feasible.</span>
+
+<a href="#cmnt_ref8" id="cmnt8">[h]</a><span class="c3">you are
+referring to SCIM not making the privilege grants, only grants of roles
+correct?</span>
+
+<a href="#cmnt_ref9" id="cmnt9">[i]</a><span class="c3">Yes</span>
+
+<a href="#cmnt_ref10" id="cmnt10">[j]</a><span class="c3">I am not sure
+I follow here and not making the privilege grants. What are the
+limitations with SCIM?</span>
+
+<a href="#cmnt_ref11" id="cmnt11">[k]</a><span class="c3">I believe the
+/Groups endpoint can grant roles to users or roles, but not grant
+specific privileges to roles.</span>

From 657b116062aca74d6dad53ddffff14f4735c516b Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Wed, 23 Dec 2020 17:40:46 +0000
Subject: [PATCH 09/27] :construction: Cleaned up RBAC pattern

Cleaned up superfluous span elements, renamed and added images added metadata
and reformatted and indented the ordered list in the pattern details to restore
the hierarchy of the information.
---
 .../assets/Snowflake_RBAC_Suggested.png       | Bin 0 -> 55754 bytes
 .../assets/Snowflake_RBAC_Traditional.png     | Bin 0 -> 62918 bytes
 .../security_access_to_sensitive_objects.md   | 406 ++++++------------
 3 files changed, 120 insertions(+), 286 deletions(-)
 create mode 100644 site/devlabs/assets/Snowflake_RBAC_Suggested.png
 create mode 100644 site/devlabs/assets/Snowflake_RBAC_Traditional.png

diff --git a/site/devlabs/assets/Snowflake_RBAC_Suggested.png b/site/devlabs/assets/Snowflake_RBAC_Suggested.png
new file mode 100644
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diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index dbf3feac0..7b8255e86 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -1,18 +1,14 @@
-<span class="c39">Access to Sensitive Objects</span>
-====================================================
+summary: Security - Access to Sensitive Objects
+id: security_access_to_sensitive_objects
+categories: patterns
+tags: patterns, security, rbac, objects, access
+status: Published 
 
-Version 1.0
+# Access to Sensitive Objects
 
-<span class="c10"></span>
+## PATTERN SUMMARY
 
-------------------------------------------------------------------------
-
-<span class="c33 c45"></span>
-
-<span class="c2">PATTERN SUMMARY</span>
-=======================================
-
-<span class="c10">The pattern outlined in this document provides an
+The pattern outlined in this document provides an
 approach for granting access to schemas containing sensitive data
 without creating a fork in the RBAC role hierarchy.  Forking the RBAC
 hierarchy is commonly prescribed in order to provide one role set which
@@ -20,9 +16,9 @@ grants access to non-sensitive data and another  with sensitive data
 access. This privileged role must then be properly inherited and/or
 activated by the end user, and it results in a duplication of the
 privileges set; one for non sensitive data and one for sensitive.
- </span>
+ 
 
-<span class="c10">This pattern proposes alternatively, to instead grant
+This pattern proposes alternatively, to instead grant
 a privilege set to all objects in a database regardless of their
 sensitivity.  It is then only the USAGE privilege, which is controlled
 by a separate database specific sensitive role, that would be inherited
@@ -30,74 +26,47 @@ by the top level role.  This effectively eliminates the fork in the
 hierarchy and simplifies the number of roles a user must request access
 to . Instead of the user having to request a sensitive role with its own
 access privileges, they can  simply request  the enabling of sensitive
-data access.</span>
+data access.
 
 This pattern does not prescribe  how to populate these objects,perform
 row or column level security, or grant roles to users; each of which may
 also be required.  The scope of this pattern is simply how to provide
 visibility to the objects themselves.  
 
-<span class="c10"></span>
-
-<span class="c2">WHEN TO USE THIS PATTERN</span>
-================================================
-
-<span class="c11"></span>
-
-<span id="t.9da8e9ff4d7ce2b01d18dae6bd52c83aadee8acf"></span><span
-id="t.0"></span>
-
-<table class="c44">
-<tbody>
-<tr class="odd">
-<td><p><span class="c41">Pattern Status</span></p></td>
-<td><p><span class="c6">ACTIVE</span></p></td>
-</tr>
-<tr class="even">
-<td><p><span class="c41">Pattern Superseded by</span></p></td>
-<td><p><span class="c6">NONE</span></p></td>
-</tr>
-</tbody>
-</table>
-
-<span class="c10"></span>
-
-<span class="c10">This pattern implements well when the following
-conditions are true:</span>
-
-1.  <span class="c10">Within a database, datasets are grouped by schema
-    by which access must be controlled</span>
-2.  <span class="c10">Access to these schemas is controlled by an
-    identity governance & access management system.  </span>
-3.  <span class="c10">User request access to specific data sets which
-    must be approved</span>
-4.  <span class="c10">Access roles are inherited by some level of
-    functional role.  The functional role could be at a group or
-    individual level.  </span>
 
-<span class="c15"></span>
 
-<span class="c15"></span>
+## WHEN TO USE THIS PATTERN
+
+This pattern implements well when the following
+conditions are true:
 
-<span class="c2">PATTERN DETAILS</span>
-=======================================
+1.  Within a database, datasets are grouped by schema
+    by which access must be controlled
+2.  Access to these schemas is controlled by an
+    identity governance & access management system.  
+3.  User request access to specific data sets which
+    must be approved
+4.  Access roles are inherited by some level of
+    functional role.  The functional role could be at a group or
+    individual level.  
+
+## PATTERN DETAILS
 
 Objects in Snowflake are contained in a hierarchy of containers.
  Databases contain schemas which contain objects.  Each level of the
 hierarchy has its own set of privileges.  In order to be able to
-successfully access data in the lowest level objects which contain data
-- such as table or a view - the role must have the appropriate
+successfully access data in the lowest level objects which contain data - such as table or a view - the role must have the appropriate
 privileges on all objects higher in the hierarchy.  A role must first
 have the privilege to view a database, commonly granted with the
 database usage privilege.  Then the role can only see schemas for
-which<span class="c10"> the schema usage privilege has been granted.
+which the schema usage privilege has been granted.
  Finally the user must have privileges on the underlying objects.
- </span>
+ 
 
 Although the object containers - meaning database, schema and tables
 (for example) -  are hierarchical, the privileges can be granted out of
 order, which is what this pattern is suggesting.  A role inherits a
-certain privilege set<span class="c10"> on all objects in a database -
+certain privilege set on all objects in a database -
 this privilege set can be any combination of CRUD privileges.  The role
 is then granted usage on the database.  At this point the role can see
 the database, and has common privileges on objects - but is unable to
@@ -106,7 +75,7 @@ granted.  Now, a user can request permissions to specific schemas.  The
 only privilege the security admin must grant is the usage privilege.
  Once that usage is granted and properly inherited by a functional role
 to aggregate the object level privileges along with the usage privilege,
- the user will be able to access the data set.  </span>
+ the user will be able to access the data set.  
 
 The granting of these schema level roles is commonly managed by an
 enterprise identity governance and access management system.  Within
@@ -116,183 +85,120 @@ occurred, the role containing the usage privilege on the approved schema
 is assigned to the requesting user's functional role.  This granting and
 inheritance can be implemented using either SCIM2.0 API, JDBC calls to
 customer stored procedures, or calling procedures or executing SQL
-directly in Snowflake<span class="c10">.</span>
+directly in Snowflake.
 
-<span class="c10">Key Points</span>
+Key Points
 
 1.  Even if a role has privileges on an object, if it does not have the
     USAGE privilege on the database and schema containing the object it
     will not be visible to that role.
-     <sup><a href="#cmnt1" id="cmnt_ref1">[a]</a></sup>
-2.  <span class="c10">For each schema containing sensitive data a role
-    is created and granted the USAGE privilege on that schema</span>
-3.  <span class="c10">This sensitive role is then granted to the
+2.  For each schema containing sensitive data a role
+    is created and granted the USAGE privilege on that schema
+3.  This sensitive role is then granted to the
     functional role which has been approved to access the sensitive
-    data. </span>
+    data. 
 
-<span class="c2">PATTERN EXAMPLE</span>
-=======================================
+## PATTERN EXAMPLE
 
-<span class="c10">This is a working example of how this pattern could be
-implemented, within a particular context.</span>
+This is a working example of how this pattern could be
+implemented, within a particular context.
 
-<span class="c27">Business Scenario</span>
-------------------------------------------
+### Business Scenario
 
-1.  <span class="c10">Snowflake will integrate with an enterprise
+1.  Snowflake will integrate with an enterprise
     permissions management catalog system.  All roles in Snowflake which
     a customer will be granted need to be listed in this catalog.  Given
     the volume of databases in schemas for the project, an emphasis on
-    role reduction must be made.</span>
-2.  <span class="c10">The data set in snowflake will include two
+    role reduction must be made.
+2.  The data set in snowflake will include two
     sensitivity classifications.  Sensitive, which will have limited
     access,  and non sensitive which all users will have access
-    to.</span>
-
-<span class="c27">Pattern Details</span>
-----------------------------------------
-
-1.  <span class="c10">Database PROD\_DB contains two schemas,
-    PUBLIC\_SCHEMA and SENSITIVE\_SCHEMA.</span>
-2.  <span class="c10">A PROD\_DB\_RO role is created.  The following
-    privileges are granted to the role</span>
-
-<!-- -->
-
-1.  <span class="c10">USAGE on PROD\_DB</span>
-2.  <span class="c10">USAGE on PUBLIC\_SCHEMA</span>
-3.  <span class="c10">SELECT on all TABLES in PROD\_DB</span>
-
-<!-- -->
-
-1.  <span class="c10">A PROD\_DB\_RW role is created.  The following
-    privileges are granted to the role</span>
-
-<!-- -->
-
-1.  <span class="c10">INSERT & UPDATE on all TABLES in  database
-    PROD\_DB</span>
-2.  <span class="c10">PROD\_DB\_RO is granted to PROD\_DB\_RW</span>
-
-<!-- -->
-
-1.  <span class="c10">A PROD\_DB\_SENSITIVE is created.  The following
-    privileges are granted to the role:</span>
-
-<!-- -->
-
-1.  <span class="c10">USAGE on schema SENSITIVE\_SCHEMA</span>
-2.  <span class="c10">Note there are no lower level object grants to the
-    SENSITIVE schema role.  It also is not inherited nor does it inherit
-    other object access roles.  </span>
-
-<!-- -->
-
-1.  <span class="c10">A functional role, IT\_ANALYTICS\_ROLE  is
+    to.
+
+### Pattern Details
+
+1.  Database PROD\_DB contains two schemas,
+    PUBLIC\_SCHEMA and SENSITIVE\_SCHEMA.
+2.  A PROD\_DB\_RO role is created.  The following
+    privileges are granted to the role 
+    1.  USAGE on PROD\_DB
+    2.  USAGE on PUBLIC\_SCHEMA
+    3.  SELECT on all TABLES in PROD\_DB
+3.  A PROD\_DB\_RW role is created.  The following
+    privileges are granted to the role
+    1.  INSERT & UPDATE on all TABLES in  database
+        PROD\_DB
+    2.  PROD\_DB\_RO is granted to PROD\_DB\_RW
+4.  A PROD\_DB\_SENSITIVE is created.  The following
+    privileges are granted to the role:
+    1.  USAGE on schema SENSITIVE\_SCHEMA
+    2.  Note there are no lower level object grants to the
+        SENSITIVE schema role.  It also is not inherited nor does it inherit
+        other object access roles.  
+5.  A functional role, IT\_ANALYTICS\_ROLE  is
     created.  This role will inherit the access level roles and be
-    granted to users.  This role will be activated by the user.</span>
-2.  <span class="c10">Within the enterprise identity governance and
+    granted to users.  This role will be activated by the user.
+6.  Within the enterprise identity governance and
     access management solution, the following roles will be listed for a
     user to request, with a user required to select at least one from
-    each category:</span>
-
-<!-- -->
-
-1.  <span class="c10">Access roles:</span>
-
-<!-- -->
-
-1.  <span class="c10">PROD\_DB\_RO</span>
-2.  <span class="c10">PROD\_DB\_RW</span>
-3.  <span class="c10">PROD\_DB\_SENSITIVE</span>
-
-<!-- -->
-
-1.  <span class="c10">Functional Roles</span>
-
-<!-- -->
-
-1.  <span class="c10">IT\_ANALYTICS\_ROLE</span>
-
-<!-- -->
-
-1.  <span class="c10">Scenario 1: Bill, an IT Business Analyst, requires
-    read write access to non sensitive data in PROD\_DB.  </span>
-
-<!-- -->
-
-1.  <span class="c10">Bill already has the IT\_ANALYTICS granted to his
-    user.  </span>
-2.  <span class="c10">Bill requests PROD\_DB\_RW.  </span>
-3.  <span class="c10">The PROD\_DB\_RW, after following the approval
-    process, is granted the IT\_ANALYTICS role.  Bill now has the
-    read/write on all objects in the public schema. </span>
-
-<!-- -->
-
-1.  <span class="c10">Scenario 2: Alice, an HR Business Analyst,
+    each category:
+    1.  Access roles:
+        1.  PROD\_DB\_RO
+        2.  PROD\_DB\_RW
+        3.  PROD\_DB\_SENSITIVE
+    2.  Functional Roles
+        1.  IT\_ANALYTICS\_ROLE
+7.  Scenario 1: Bill, an IT Business Analyst, requires
+    read write access to non sensitive data in PROD\_DB.  
+    1.  Bill already has the IT\_ANALYTICS granted to his
+        user.  
+    2.  Bill requests PROD\_DB\_RW.  
+    3.  The PROD\_DB\_RW, after following the approval
+        process, is granted the IT\_ANALYTICS role.  Bill now has the
+        read/write on all objects in the public schema. 
+8.  Scenario 2: Alice, an HR Business Analyst,
     requires read access to PROD\_DB but also requires access to payroll
-    data kept within the sensitive schema.  </span>
-
-<!-- -->
-
-1.  <span class="c10">Alice already has the HR\_ANALYSTS functional role
-    granted to her user.</span>
-2.  <span class="c10">Alice requests the PROD\_DB\_RO role</span>
-3.  <span class="c10">Alice requests the PROD\_DB\_SENSITIVE role</span>
-4.  <span class="c10">After the appropriate approval process, the roles
-    are granted to the HR\_ANALYSTS role and Alice can now read all
-    tables in both the PUBLIC and SENSITIVE schemas.  </span>
-
-<span class="c10"></span>
-
-<span
-style="overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 507.90px; height: 804.50px;">![](images/image2.png)</span>
+    data kept within the sensitive schema.  
+    1.  Alice already has the HR\_ANALYSTS functional role
+        granted to her user.
+    2.  Alice requests the PROD\_DB\_RO role
+    3.  Alice requests the PROD\_DB\_SENSITIVE role
+    4.  After the appropriate approval process, the roles
+        are granted to the HR\_ANALYSTS role and Alice can now read all
+        tables in both the PUBLIC and SENSITIVE schemas.  
 
-<span class="c30">Fig 1.0 Suggested Approach</span>
+![Snowflake_RBAC_Suggested-image](assets/Snowflake_RBAC_Suggested.png)
 
-<span
-style="overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 497.82px; height: 689.50px;">![](images/image3.png)</span>
+Fig 1.0 Suggested Approach
 
-<span class="c30">Fig 2.0 Traditional Pattern</span>
+![Snowflake_RBAC_Traditional-image](assets/Snowflake_RBAC_Traditional.png)
 
-<span class="c10"></span>
+Fig 2.0 Traditional Pattern
 
-<span class="c10"></span>
 
-<span class="c10"></span>
+## GUIDANCE
 
-<span class="c2">GUIDANCE</span>
-================================
 
-<span class="c31">MISAPPLICATIONS TO AVOID</span>
--------------------------------------------------
+### INCOMPATIBILITIES
 
-<span class="c10">TBD</span>
-
-<span class="c31">INCOMPATIBILITIES</span>
-------------------------------------------
-
-1.  <span class="c10">This pattern assumes a user should have the same
+1.  This pattern assumes a user should have the same
     access level permissions on objects in a database.  If the user
     indeed requires separate permissions levels for schemas contained
     within the same database the model may need to be extended or a
-    different model used.  </span>
+    different model used.  
 
-<span class="c31">OTHER IMPLICATIONS</span>
--------------------------------------------
+### OTHER IMPLICATIONS
 
 1.  Some applications which integrate with SCIM may not support all
     functionality required to properly manage this approach requiring
-    custom<sup><a href="#cmnt2" id="cmnt_ref2">[b]</a><a href="#cmnt3" id="cmnt_ref3">[c]</a><a href="#cmnt4" id="cmnt_ref4">[d]</a><a href="#cmnt5" id="cmnt_ref5">[e]</a><a href="#cmnt6" id="cmnt_ref6">[f]</a></sup>\` SCIM
+    custom SCIM
     or JDBC integration.
-    <sup><a href="#cmnt7" id="cmnt_ref7">[g]</a><a href="#cmnt8" id="cmnt_ref8">[h]</a><a href="#cmnt9" id="cmnt_ref9">[i]</a><a href="#cmnt10" id="cmnt_ref10">[j]</a><a href="#cmnt11" id="cmnt_ref11">[k]</a></sup>
 
-<span class="c10"></span>
 
-<span class="c36">DESIGN PRINCIPLES ENABLED BY THIS PATTERN</span>
 
-<span class="c10">With a traditional approach of having non-sensitive
+## DESIGN PRINCIPLES ENABLED BY THIS PATTERN
+
+With a traditional approach of having non-sensitive
 and sensitive versions of RBAC roles for a database and/or schema, the
 user must determine both which dataset they should have access to as
 well as which level of access they should have to this data - and
@@ -301,13 +207,13 @@ properly trained and experienced with Snowflake RBAC.  With the model
 proposed in this pattern, the access level has already been determined,
 likely based on the organizational role of the user.  The only request
 the user is making is which datasets the user should be able to view.
- </span>
+ 
 
-<span class="c10"></span>
 
-<span class="c36">BENEFITS ENABLED BY THIS PATTERN</span>
 
-<span class="c10">The benefit of this pattern is when a user is
+## BENEFITS ENABLED BY THIS PATTERN
+
+The benefit of this pattern is when a user is
  reviewing the possible roles to request access to, they only see three
 roles and must decide 1) what privilege level do I need and 2) do I need
 access to sensitive data.  These decisions are made independently of
@@ -318,86 +224,14 @@ grants to be made of privileges to roles whereas the suggested pattern
 only requires 5.  These numbers may seem insignificant, however as
 implementations of snowflake grow and evolve, simplification of RBAC
 hierarchies will be critical to successful extensibility and ease of
-management.  </span>
-
-1.  <span class="c10">Simplified RBAC Hierarchy</span>
-2.  <span class="c10">Simplified enterprise catalog of available
-    roles</span>
-3.  <span class="c10">More intuitive access selections for common
-    users</span>
-4.  Simplified integration with <span class="c0">IAM (Identity and
+management.  
+
+1.  Simplified RBAC Hierarchy
+2.  Simplified enterprise catalog of available
+    roles
+3.  More intuitive access selections for common
+    users
+4.  Simplified integration with IAM (Identity and
     Access Management) or IGA (Identity Governance and Administration)
-    tools</span>
-
-<span class="c36">RELATED RESOURCES</span>
-
-<span class="c10">The following related information is available.</span>
-
-<span id="t.4dbae366229713e90ad0d3003f2f186efd04c318"></span><span
-id="t.1"></span>
-
-<table class="c44">
-<tbody>
-<tr class="odd">
-<td><p><span class="c10">Snowflake Related Patterns</span></p></td>
-<td><p><span class="c10"></span></p></td>
-</tr>
-<tr class="even">
-<td><p><span class="c10">Snowflake Community Posts</span></p></td>
-<td><p><span class="c10"></span></p></td>
-</tr>
-<tr class="odd">
-<td><p><span class="c10">Snowflake Documentation</span></p></td>
-<td><p><span class="c10"></span></p></td>
-</tr>
-<tr class="even">
-<td><p><span class="c10">Partner Documentation</span></p></td>
-<td><p><span class="c10"></span></p></td>
-</tr>
-</tbody>
-</table>
-
-<span class="c10"></span>
-
-<span class="c32">                                                                                </span><span class="c32 c43">Page </span><span style="overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 110.71px; height: 28.50px;">![](images/image1.png)</span>
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-
-<a href="#cmnt_ref1" id="cmnt1">[a]</a><span class="c3">Clever! But come
-to think of it, it does concern me that it will be confusing to
-auditors.</span>
-
-<a href="#cmnt_ref2" id="cmnt2">[b]</a><span class="c3">Given that SCIM
-can never handle any actual GRANTS, even a custom SCIM  integration
-wouldn't be feasible.</span>
-
-<a href="#cmnt_ref3" id="cmnt3">[c]</a><span class="c3">you are
-referring to SCIM not making the privilege grants, only grants of roles
-correct?</span>
-
-<a href="#cmnt_ref4" id="cmnt4">[d]</a><span class="c3">Yes</span>
-
-<a href="#cmnt_ref5" id="cmnt5">[e]</a><span class="c3">I am not sure I
-follow here and not making the privilege grants. What are the
-limitations with SCIM?</span>
-
-<a href="#cmnt_ref6" id="cmnt6">[f]</a><span class="c3">I believe the
-/Groups endpoint can grant roles to users or roles, but not grant
-specific privileges to roles.</span>
-
-<a href="#cmnt_ref7" id="cmnt7">[g]</a><span class="c3">Given that SCIM
-can never handle any actual GRANTS, even a custom SCIM  integration
-wouldn't be feasible.</span>
-
-<a href="#cmnt_ref8" id="cmnt8">[h]</a><span class="c3">you are
-referring to SCIM not making the privilege grants, only grants of roles
-correct?</span>
-
-<a href="#cmnt_ref9" id="cmnt9">[i]</a><span class="c3">Yes</span>
-
-<a href="#cmnt_ref10" id="cmnt10">[j]</a><span class="c3">I am not sure
-I follow here and not making the privilege grants. What are the
-limitations with SCIM?</span>
-
-<a href="#cmnt_ref11" id="cmnt11">[k]</a><span class="c3">I believe the
-/Groups endpoint can grant roles to users or roles, but not grant
-specific privileges to roles.</span>
+    tools
+

From 765ed0d4f76dc0c9ac78d01007dbea6a9bbd5cb3 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Wed, 23 Dec 2020 21:20:15 +0000
Subject: [PATCH 10/27] :note: Add HVR Ingestion Pattern

Clean up links, reformat lists, reformat emphasis
Correct some minor spelling, punctuation and grammar issues.
---
 site/devlabs/assets/HVR_Channel.png           | Bin 0 -> 25093 bytes
 site/devlabs/assets/HVR_Compare.png           | Bin 0 -> 35865 bytes
 site/devlabs/assets/HVR_HubAndAgents.png      | Bin 0 -> 53602 bytes
 site/devlabs/assets/HVR_Hub_Collocated.png    | Bin 0 -> 42084 bytes
 .../assets/HVR_Hub_SourcesAndTargets.png      | Bin 0 -> 158931 bytes
 site/devlabs/assets/HVR_InitializeChannel.png | Bin 0 -> 39168 bytes
 site/devlabs/assets/HVR_LocationGroup.png     | Bin 0 -> 16449 bytes
 .../ingestion_real_time_cdc_with_hvr.md       | 528 ++++++++++++++++++
 8 files changed, 528 insertions(+)
 create mode 100644 site/devlabs/assets/HVR_Channel.png
 create mode 100644 site/devlabs/assets/HVR_Compare.png
 create mode 100644 site/devlabs/assets/HVR_HubAndAgents.png
 create mode 100644 site/devlabs/assets/HVR_Hub_Collocated.png
 create mode 100644 site/devlabs/assets/HVR_Hub_SourcesAndTargets.png
 create mode 100644 site/devlabs/assets/HVR_InitializeChannel.png
 create mode 100644 site/devlabs/assets/HVR_LocationGroup.png
 create mode 100644 site/devlabs/ingestion_real_time_cdc_with_hvr.md

diff --git a/site/devlabs/assets/HVR_Channel.png b/site/devlabs/assets/HVR_Channel.png
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diff --git a/site/devlabs/assets/HVR_Hub_Collocated.png b/site/devlabs/assets/HVR_Hub_Collocated.png
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diff --git a/site/devlabs/assets/HVR_InitializeChannel.png b/site/devlabs/assets/HVR_InitializeChannel.png
new file mode 100644
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diff --git a/site/devlabs/assets/HVR_LocationGroup.png b/site/devlabs/assets/HVR_LocationGroup.png
new file mode 100644
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+summary: Real-Time data capture with HVR
+id: ingestion_real_time_cdc_with_hvr
+categories: patterns
+tags: patterns, ingestion, hvr
+status: Published
+# REAL-TIME DATA CAPTURE WITH HVR
+
+## PATTERN SUMMARY
+
+HVR provides log based change data capture (CDC) rich replication from many sources to Snowflake. This includes
+capturing inserts, updates, and deletes as well as bulk data loads, data
+coercion and enrichment, error handling, queuing, metadata changes, and
+more. HVR has both the ability to do the initial data load and ongoing
+replication of data.
+
+This pattern provides advice on when HVR is an
+appropriate solution
+
+## WHEN TO USE THIS PATTERN
+
+This pattern should be used when data needs to be
+extracted, in near real time, from its source in a traditional RDBMSs,
+including but not limited to SAP ECC pooled and clustered tables, (bsec,
+bseg, etc.) and loading into Snowflake. 
+
+![HVR_Hub_SourcesAndTargets-image](assets/HVR_Hub_SourcesAndTargets.png)
+
+## PATTERN DETAILS
+
+To replicate data with HVR the following steps must be
+considered and implemented:
+
+1.  Deployment of HVR hub and agents
+2.  Configuration of Locations and Channels
+3.  Job initialization and Scheduling
+4.  Initial data load and location
+    synchronization
+5.  Data verification
+
+## STEP 1: Deployment of HVR hub and agents
+
+HVR requires the deployment of a hub system.
+Additionally, users have the option of deploying agents. The hub can be
+deployed in the following ways:
+
+-   Bare Metal or Virtualized
+-   On premises or in the cloud
+-   On the source or alone
+-   On Linux, Windows, Mac, Solaris(sparc or x64), or AIX(Power)  
+    [Full list of supported platforms](https://www.hvr-software.com/docs/introduction/platform-compatibility-matrix)
+
+Deciding where and how to deploy is largely based on
+what resources are available and what the customer is most comfortable
+with. This includes what OS, on premises or in the cloud, and
+virtualized or not. Deciding where to install the hub should include the
+following:
+
+-   Is the source located on a supported platform where
+    additional software can be installed?
+-   How many source locations are there?
+
+All data passes through the hub. 
+
+To utilize log-based CDC on a source either an agent or a hub must be
+deployed on the same host. This allows HVR to quickly and efficiently
+capture changes to the data. All communication between an agent and the
+hub can be encrypted and compressed (10x on average). Using agents distributes
+the load and can allow for scaling of data loads into target locations.
+Performance increases can be seen when deploying an agent in the same
+network/ VPC as the source or target even when not deployed on the same
+host.
+
+An HVR hub requires an RDBMS to store its repository of configuration
+and state information. [Full list of supported RDBMS for hub repository](https://www.hvr-software.com/docs/capabilities#Capabilities-HubDatabase). A source or target RDBMS can be used for this repository if
+it is convenient. This database only stores configurations and state
+information, none of the data being replicated is stored here.
+
+Client libraries are also required for connecting to
+locations. For example, to connect to Snowflake the Snowflake ODBC
+drivers must be installed on the host connecting to
+Snowflake.
+![HVR_Hub_Collated-image](assets/HVR_Hub_Collocated.png)
+![HVR_HubAndAgents-image](assets/HVR_HubAndAgents.png)
+
+## STEP 2: Configuration of Locations and Channels
+
+### Locations
+
+HVR is unique in that its locations are not associated
+directly as a source or target. Locations are defined generically with
+the required connection information and not identified as a source or
+target till a channel is defined. Locations can be used in multiple
+channels and can be a source in one and a target in another.
+
+The first thing to configure in HVR are the locations of sources and
+targets. For this pattern the target is always Snowflake. It can be
+configured by defining the Snowflake server, port, role, warehouse,
+database, schema, username, and password. Each type of source requires
+different [connection information](https://www.hvr-software.com/docs/location-class-requirements)
+
+### Channels
+
+A Channel in HVR can be thought of as a path that data
+travels. Data that has the same sources, targets, and replication
+configurations can be configured in a single channel. Typically, these
+are defined by application borders. For example, you could define a
+channel that gets financial data from several sources and delivers them
+all to Snowflake for financial analytics. 
+
+![HVR_Channel-image](assets/HVR_Channel.png)
+
+A channel is made up of 3 main components: Location
+Groups, Tables, and Actions
+
+#### Location Groups
+
+Location Groups are defined as a group of locations
+from the location definition. Most channels will have two groups
+defined, a source and a target. This makes it possible to add and remove
+locations from the group with little effort or reconfiguration. Location
+groups also separate the location definition from the channel allowing
+you to configure or update the location once and all channels that use
+that location automatically pick up the changes.
+
+![HVR_LocationGroup-image](assets/HVR_LocationGroup.png)
+
+#### Tables
+
+Once location groups are configured you must identify
+the tables that are to be replicated. HVR allows this to be done
+interactively in the GUI by connecting to the RDBMS and reading metadata
+about the tables in the defined schema or via a formatted file and a
+command line tool. Once the tables are identified HVR will write
+metadata about the tables in the repository. This includes column names,
+data types, keys, etc.
+
+#### Actions
+
+Actions define how the data is to be captured from the source and how it
+will be integrated into the target. Most channels will require at least
+one capture action and one integrate action. Other actions include
+ColumnProperties, TableProperties, CollisionDetect, Transform, etc.
+ [Full list of actions](https://www.hvr-software.com/docs/actions)
+
+## STEP 3: Job Initialization and Scheduling
+
+Once a channel is defined and after any changes to said
+channel definition it must then be initialized. Initialization creates
+jobs that capture from the source and integrate data into the target.
+These jobs can run on the hub or on the agent depending on location
+definitions. This distribution of jobs allows the work to be distributed
+for performance.
+
+Jobs can be run continuously or on a schedule. HVR
+includes a scheduler service that manages this as well as retrying jobs
+in the event of failures. Capture and Integrate jobs will usually run
+continuously.
+
+![HVR_InitializeChannel-image](assets/HVR_InitializeChannel.png)
+
+## STEP 4: Initial Data Load and Location Synchronization
+
+When replicating data in near real time, an initial
+data load is used to synchronize both the source and target to a point
+in time. HVR does this with a Refresh job. A refresh can be run
+interactively or scheduled and can be used for an initial data load or
+to synchronize a source and target to fix errors. This refresh will
+utilize the channel definition including the location groups and actions
+to perform on the data. 
+
+## STEP 5: Data Verification
+
+Finally, HVR has the ability to compare the data in the source and
+target system to verify that they are in sync or to identify the
+differences and correct them. This feature can compare data at the table
+or row level. The compare utilizes a hash either at the table or row
+level and takes into account actions defined in the channel definition.
+
+![HVR_Compare-image](assets/HVR_Compare.png)
+
+## PATTERN EXAMPLE
+
+### STEP 1: Deployment of HVR hub and agents
+
+#### Installation of HVR
+
+[Install and configure HVR Hub on Host 1 and Agent on Oracle RDBMS
+Host](https://www.hvr-software.com/docs/installing-and-upgrading-hvr)
+
+#### Configure Encryption
+
+[Configure Encryption between Hub and Agent](https://www.hvr-software.com/docs/configuring-hvr/encrypted-network-connection)
+
+#### Install Client tools
+
+Install and configure clients for sources and targets:
+[Snowflake Client](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-snowflake#RequirementsforSnowflake-ODBCConnection)
+
+#### Configure Source for CDC
+
+Verify your source RDBMS is configured with supplemental logging. 
+[For Oracle use the following](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-oracle#RequirementsforOracle-SupplementalLogging)
+
+### STEP 2: Configuration of Locations and Channels
+
+#### Setup Locations in HVR’s Location Configuration:
+
+HVR needs to know how to connect to all locations
+included in replication
+
+Oracle Location (Source):
+
+1.  In the navigation tree pane, right–click 
+    **Location Configuration ▶ New Location**
+2.  Enter **Location** name and **Description** for the
+    location.
+3.  Point the connection to the local HVR Agent running
+    on the Source machine
+    1.  Click ‘Connect to HVR on remote machine’
+    2.  Enter the Node – Ip Address or fully qualified
+        hostname
+    3.  Chose the Port – 4343
+    4.  Specify the HVR OS Username and Password
+4.  Select Oracle in **Class**.
+5.  Provide Database Connection details.
+    For more information on Database
+    Connection fields, see section [Location Configuration](https://www.hvr-software.com/docs/Requirements_for_Oracle#Location_Configuration)
+    1.  Enter directory path for **ORACLE\_HOME**. You can also
+        click browse to select the directory path.
+    2.  Enter Oracle System ID in **ORACLE\_SID** or **TNS** credential or **RAC** credential.
+    3.  Enter user name of schema in User. For
+        example, **sourcedb**
+    4.  Enter password for schema in Password.
+        For example, **hvr**
+6.  Click **Test Connection** to verify the connection to the location
+    database.
+7.  Click **OK**.
+
+Snowflake Location (Target):
+
+1.  In the navigation tree pane, right–click **Location Configuration ▶ New Location**
+2.  Enter **Location** name and **Description** for the location.
+3.  Select **Snowflake** in **Class**.
+4.  Provide **Database Connection** details.
+    For more information on Database
+    Connection fields, see section [Location Configuration](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-snowflake)
+    Enter the following information
+    1.  Your Snowflake account URL in “Server”
+    2.  Port number for your Snowflake account (Default
+        is 443)
+    3.  Role (For required grants see [Grants for Integrate and Refresh Target](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-snowflake%23RequirementsforSnowflake-GrantsforIntegrateandRefreshTarget)
+    4.  Warehouse
+    5.  Database
+    6.  Schema
+    7.  Username 
+    8.  Password
+5.  Click **Test Connection** to verify the connection to the location
+    database.
+6.  Click **OK**
+
+#### Create HVR Channel
+
+HVR uses Channels to define which locations are the
+Source and Target, how the data is captures from the Source, and how the
+data is integrated into the Target
+
+1.  In the navigation tree pane, right–click **Channel Definitions ▶ New Channel**
+2.  Enter **Channel** name and **Description** for the channel in the **New Channel** dialog.
+
+#### Create HVR Location Groups
+
+How to create location groups in a channel. The
+location groups are used for defining action on the location. Typically,
+a channel contains two location groups - one for the source location and
+one for the target location. Each location group can contain multiple
+locations.
+
+In this example, create one source location group (**SOURCE**) and one target location group (**TARGET**).
+
+1.  In the navigation tree pane, click + next
+    to the channel (**hvrdemo**).
+2.  Create source location group (**SOURCE**):
+    1.  Right–click **Location Groups ▶ New
+        Group**
+    2.  Enter **Group Name** and **Description** for the location
+        group.
+    3.  Select source location (**src**) from **Group Membership**.
+    4.  Click **OK**
+3.  Create target location group (**TARGET**):
+    1.  Right–click **Location Groups ▶ New
+        Group**.
+    2.  Enter **Group Name **and **Description** for the location
+        group.
+    3.  Select target location (**tgt**) from **Group Membership**.
+    4.  Click **OK**
+
+#### Select tables to replication
+
+The tables that are to be replicated must be added to
+HVR. This can be done via the GUI or through a file. You do not have to
+use both methods.
+
+##### Through the GUI:
+
+How to select the tables from source location for replication. Table Explore allows you to
+select schema(s) and/or table(s) for replication.
+
+1.  Right–click Tables ▶ Table
+    Explore.
+2.  Select source location (src) from the list.
+3.  Click Connect.
+4.  Select tables from Table
+    Explore dialog. Press Shift key to
+    select multiple tables or Ctrl+A to select
+    all tables.
+5.  Click Add to add the selected tables.
+6.  Click OK in HVR
+    Table Name dialog.
+7.  Click Close in Table Explore dialog.
+
+##### Through a file:
+
+How to select the tables from source location for replication. HVRAdapt command with a text
+file.
+
+1.  Create a flat file and place it on the HVR Hub  
+    SCHEMA.TABLE  
+    SCHEMA.TABLE  
+    …
+2.  Run the HVRAdapt command
+    Note: `&lt;connection string&gt;` can be copied from the HVR
+    Initialize Dialog box.  
+    Command:  
+    `hvradapt -n &lt;filename&gt; -l &lt;location name&gt; -h &lt;connection string&gt;`
+
+##### Add SAP Pooled and Clustered Tables
+
+To have HVR unpack SAP pooled and clustered tables 
+(**bsec** and **bseg**) from source location for replication do the
+following.
+
+In this example, when the Table Explore is performed with SAP Dictionaries selected, the SAP Transform Engine displays both the packed
+and unpacked tables.
+
+1.  Right–click Tables ▶ Table Explore.
+2.  Select source location (src) from the list.
+3.  Select SAP Dictionaries.
+4.  Enter SAP schema name in Schema if the SAP
+    Dictionary tables are in different schema.
+5.  Because the SAP database has large number of tables, it is
+    recommended to use the table Filter. To
+    filter the tables,
+
+
+1.  Click Edit.
+2.  Double-click &lt;Add Pattern&gt; in the
+    Table Filter dialog.
+3.  Enter the pattern. For example, bsec and
+    bseg.
+4.  Click OK.
+
+1.  Click Connect.
+2.  Select the unpacked tables from Table
+    Explore dialog. Press Shift key to
+    select multiple tables or Ctrl+A to select
+    all tables.
+
+### Define Actions
+
+Actions tell HVR where and how to capture and integrate
+data.
+
+How to define [Actions](https://www.hvr-software.com/docs/Action_Reference) on
+the location groups (SOURCE and TARGET). Actions define the behavior
+of a replication activity.
+
+1.  Define action [Capture](https://www.hvr-software.com/docs/Capture) to capture changes from all tables in the source
+    location group.
+      1.  For Non-SAP Source
+          1.  Right–click source location group SOURCE ▶ New
+              Action ▶ Capture.
+          2.  Click OK
+      2.  For SAP Source
+          1.  Define a Capture
+              1.  Right–click source location group SOURCE ▶ New
+                  Action ▶ Capture.
+              2.  Set Table to exclude packed tables
+              3.  Click OK
+          2.  Define a Transform
+              1.  Right-click target location group TARGET ▶ New
+                  Action ▶ Transform
+              2.  Set Table to include only packed tables
+              3.  Select /SAPXForm and /ExecOnHub
+              4.  Click OK
+          3.  Define action [Integrate](https://www.hvr-software.com/docs/Integrate)
+              1.  Right–click target location group TARGET ▶ New
+                  Action ▶ Integrate.
+              2.  Select Integrate Action /Burst
+              3.  Click OK.
+
+### STEP 3: Job Initialization and Scheduling
+
+Before replication can take place, HVR must assemble
+and deploy scripts and jobs. This is done via HVR Initialize. Any time
+changes are made to a channel HVR must be Initialized.
+
+[HVR Initialize](https://www.hvr-software.com/docs/Hvrinit)
+first
+checks the channel and creates replication jobs in the [HVR Scheduler](https://www.hvr-software.com/docs/commands/hvrscheduler)
+
+In this example, HVR Initialize creates one capture job and one integrate job.
+
+1.  Right click on Channel Name select HVR
+    Initialize. 
+2.  Click Initialize
+
+### Start Capturing changes and perform initial data load
+
+HVR has been configured to capture changes from the
+source, extract packed tables from SAP, and integrate them into
+Snowflake.
+
+#### Start Capture
+
+The Capture job needs to be started before we do the initial data
+load so we can capture changes that happen while we run the
+initial data load.
+
+1.  Left click on the + sign next to the Scheduler at
+    the bottom of the HVR Hub Tree
+2.  Find the job with \*-cap-\* in its name, Right
+    click and select Start
+
+### STEP 4: Initial Data Load and Location Synchronization
+
+#### Initial data load
+
+Before integrating inserts, updates, and deletes from
+the source system to the target system an initial data load is required.
+HVR calls this initial data load HVR Refresh.
+
+To get the target system in sync with the source system
+we must run a Refresh.
+
+1.  Right click on the name of the channel we created,
+    Select HVR Refresh
+    1.  Select All Tables if not already selected.
+    2.  Click Refresh
+
+#### Start replicating data from Source to Target
+
+With the initial data loaded and the capture job
+collecting new data from the source we need to begin integrating that
+data into the target. This is done by an integrate job that was created
+during HVR Initialize. 
+
+1.  Left click on the + sign next to the Scheduler at
+    the bottom of the HVR Hub Tree
+2.  Find the job with \*-integ-\* in its name, Right
+    click and select Start
+
+Changes will now be captured on the source, expanded,
+and integrated into the target.
+
+### STEP 5: Data Verification
+
+If verification of data loads or continuous replication
+is needed an HVR Compare can be executed to confirm everything is in
+sync.
+
+1.  Left click on the name of the channel we created
+    and select HVR Compare
+2.  Select the source and target tables that you want
+    to Compare
+3.  Select if you want a Bulk or Row by Row
+    compare
+4.  Click compare
+
+The output will verify that the tables are in sync or
+will call out how they are different. With a row by row compare, HVR can
+tell you exactly what rows are different, and if Verbose SQL is selected
+exactly what SQL needs to be run on the target to get it back in sync
+with the source.
+
+## GUIDANCE
+
+### MISAPPLICATIONS TO AVOID
+
+None known at time of publication
+
+### INCOMPATIBILITIES
+
+HVR does not currently support Snowflake data type
+VARIANT, OBJECT, and ARRAY
+
+### OTHER IMPLICATIONS
+
+None known at time of publication
+
+### DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN
+
+This Pattern unlocks critical business data from proprietary encoded
+tables in SAP and delivers it to
+Snowflake. This enables analytics to run against real time
+data.
+
+HVR is unique in its ability to extract data from SAP
+ECC pooled and clustered tables as well as capture directly from the
+logs of SAP ECC and SAP HANA DBMS. Additionally, HVR can verify that
+data is in sync and allow for easy evolution of source and target
+systems without having to reimplement.
+
+With HVR it is easy to add additional source including
+many traditional RDBMSs (Oracle, MSSQL, MySQL, etc.), file systems
+(local, S3, etc.), and cloud platforms. Because of HVRs use of a
+centralized hub and agent architecture, you can configure many sources
+to deliver data into Snowflake without requiring multiple hub
+installations. Adding more sources is as simple as adding location for
+them and defining how you want the data to flow.
+
+
+
+## RELATED RESOURCES
+
+The following related information is available.
+
+Partner Documentation:
+- [HVR Documentation](https://www.hvr-software.com/docs/)

From 43db86407df049e5f5475cd5d975b13a0bff6a2e Mon Sep 17 00:00:00 2001
From: Jessica Munoz <ms.jessica.munoz@gmail.com>
Date: Thu, 28 Jan 2021 15:47:53 -0800
Subject: [PATCH 11/27] It will have sample template and metadata

---
 ...ing_Started_With_User-Defined_Functions.md | 68 +++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 site/devlabs/Getting_Started_With_User-Defined_Functions.md

diff --git a/site/devlabs/Getting_Started_With_User-Defined_Functions.md b/site/devlabs/Getting_Started_With_User-Defined_Functions.md
new file mode 100644
index 000000000..54444be39
--- /dev/null
+++ b/site/devlabs/Getting_Started_With_User-Defined_Functions.md
@@ -0,0 +1,68 @@
+summary: Guide to getting started with user-defined functions
+Id: Getting_Started_With_User-Defined_Functions
+categories: getting-started, sql
+environments: Web
+status: Draft
+feedback link: https://github.com/Snowflake-Labs/devlabs/issues
+tags: Getting Started, SQL
+
+# Getting Started With User-Defined Functions
+<!-- ------------------------ -->
+## Overview 
+Duration: 1
+
+### What You’ll Learn 
+- how to set the amount of time each slide will take to finish 
+- how to include code snippets 
+- how to hyperlink items 
+- how to include images 
+
+<!-- ------------------------ -->
+## Setting Duration
+Duration: 2
+
+To indicate how long each slide will take to go through, set the `Duration` under each Heading 2 (i.e. `##`) to an integer. 
+The integers refer to minutes. If you set `Duration: 4` then a particular slide will take 4 minutes to complete. 
+
+The total time will automatically be calculated for you and will be displayed on the codelab once you create it. 
+
+<!-- ------------------------ -->
+## Code Snippets
+Duration: 3
+
+To include code snippets you can do a few things. 
+- Inline highlighting can be done using the tiny tick mark on your keyboard: "`"
+- Embedded code
+
+### JavaScript
+
+```javascript
+{ 
+  key1: "string", 
+  key2: integer,
+  key3: "string"
+}
+```
+
+### Java
+
+```java
+for (statement 1; statement 2; statement 3) {
+  // code block to be executed
+}
+```
+
+<!-- ------------------------ -->
+## Hyperlinking and Embedded Images
+Duration: 1
+### Hyperlinking
+[Youtube - Halsey Playlists](https://www.youtube.com/user/iamhalsey/playlists)
+
+### Images
+![alt-text-here](assets/puppy.jpg)
+
+<!-- ------------------------ -->
+## Other Stuff
+Duration: 1
+
+Checkout the official documentation here: [Codelab Formatting Guide](https://github.com/googlecodelabs/tools/blob/master/FORMAT-GUIDE.md)
\ No newline at end of file

From e15255c97584a0997237676c9f9b23ae17675e33 Mon Sep 17 00:00:00 2001
From: Jessica Munoz <ms.jessica.munoz@gmail.com>
Date: Fri, 29 Jan 2021 22:11:43 -0800
Subject: [PATCH 12/27] It will have guide on getting started with udfs

---
 ...ing_Started_With_User-Defined_Functions.md | 231 +++++++++++++++---
 .../assets/Snowflake_SwitchRole_DemoUser.png  | Bin 0 -> 41851 bytes
 .../assets/Snowflake_select_udf_max.png       | Bin 0 -> 41065 bytes
 site/devlabs/assets/Snowflake_select_udtf.png | Bin 0 -> 72128 bytes
 .../devlabs/assets/Snowflake_udf_CreateDB.png | Bin 0 -> 62269 bytes
 .../assets/Snowflake_udf_CreateSchema.png     | Bin 0 -> 65917 bytes
 .../assets/Snowflake_udf_CreateTable.png      | Bin 0 -> 75820 bytes
 site/devlabs/assets/Snowflake_udf_DropDB.png  | Bin 0 -> 38286 bytes
 .../assets/Snowflake_udf_DropTable.png        | Bin 0 -> 37387 bytes
 site/devlabs/assets/Snowflake_udf_max.png     | Bin 0 -> 53669 bytes
 .../Snowflake_udf_schema_public_drop.png      | Bin 0 -> 38534 bytes
 site/devlabs/assets/Snowflake_udtf.png        | Bin 0 -> 83585 bytes
 12 files changed, 194 insertions(+), 37 deletions(-)
 create mode 100644 site/devlabs/assets/Snowflake_SwitchRole_DemoUser.png
 create mode 100644 site/devlabs/assets/Snowflake_select_udf_max.png
 create mode 100644 site/devlabs/assets/Snowflake_select_udtf.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_CreateDB.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_CreateSchema.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_CreateTable.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_DropDB.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_DropTable.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_max.png
 create mode 100644 site/devlabs/assets/Snowflake_udf_schema_public_drop.png
 create mode 100644 site/devlabs/assets/Snowflake_udtf.png

diff --git a/site/devlabs/Getting_Started_With_User-Defined_Functions.md b/site/devlabs/Getting_Started_With_User-Defined_Functions.md
index 54444be39..f405e28b3 100644
--- a/site/devlabs/Getting_Started_With_User-Defined_Functions.md
+++ b/site/devlabs/Getting_Started_With_User-Defined_Functions.md
@@ -9,60 +9,217 @@ tags: Getting Started, SQL
 # Getting Started With User-Defined Functions
 <!-- ------------------------ -->
 ## Overview 
-Duration: 1
+Duration: 10
 
-### What You’ll Learn 
-- how to set the amount of time each slide will take to finish 
-- how to include code snippets 
-- how to hyperlink items 
-- how to include images 
+Sometimes the built-in system functions don't offer answers to the specific questions your organization has. Custom functions are necessary when managing and analyzing data, but crafting them isn't always straightforward. Snowflake provides a way to make diverse functions on the fly with user-defined functions(UDFs).
+
+This guide will walk you through getting set up with Snowflake and becoming familiar with creating and executing UDFs and user-defined table functions(UDTFs).
+
+Review the material below and start with the essentials in the following section.
+
+### Prerequisites
+- Quick Video [Introduction to Snowflake](https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.)
+
+### What You’ll Learn
+- Snowflake account and user permissions
+- Make database objects
+- Query with a user-defined scalar function
+- Query with a user-defined table function
+- Delete database objects
+- Review secure user-defined function
+
+### What You’ll Need 
+- [Snowflake](https://signup.snowflake.com/) Account
+
+### What You’ll Build 
+- Database objects and user-defined functions to query those objects.
 
 <!-- ------------------------ -->
-## Setting Duration
-Duration: 2
 
-To indicate how long each slide will take to go through, set the `Duration` under each Heading 2 (i.e. `##`) to an integer. 
-The integers refer to minutes. If you set `Duration: 4` then a particular slide will take 4 minutes to complete. 
+## Begin With the Basics
+Duration: 10
+
+First, we'll go over how to create your Snowflake account and manage user permissions.
+
+1.  Create a Snowflake Account
+
+Snowflake lets you try out their services for free with a [trial account](https://signup.snowflake.com/). Follow the prompts to activate your account via email.
+
+2.  Access Snowflake’s Web Console
 
-The total time will automatically be calculated for you and will be displayed on the codelab once you create it. 
+`https://<account-name>.snowflakecomputing.com/console/login`
+    
+Log in to the [web interface](https://docs.snowflake.com/en/user-guide/connecting.html#logging-in-using-the-web-interface) from your browser. The URL contains your [account name](https://docs.snowflake.com/en/user-guide/connecting.html#your-snowflake-account-name) and potentially the region.
+
+3.  Increase Your Account Permission
+
+![Snowflake_SwitchRole_DemoUser-image](assets/Snowflake_SwitchRole_DemoUser.png)
+
+Switch the account role from the default **SYSADMIN** to **ACCOUNTADMIN**. 
+
+With your new account created and the role configured, you're ready to begin creating database objects in the following section.
 
 <!-- ------------------------ -->
-## Code Snippets
-Duration: 3
+## Generate Database Objects
+Duration: 10
+
+With your Snowflake account at your fingertips, it's time to create the database objects.
+
+Within the Snowflake web console, navigate to **Worksheets** and use a fresh worksheet to run the following commands.
+
+1. **Create Database**
+
+```
+create or replace database udf_db;
+```
+Build your new database named `udf_db` with the command above.
 
-To include code snippets you can do a few things. 
-- Inline highlighting can be done using the tiny tick mark on your keyboard: "`"
-- Embedded code
+![Snowflake_udf_CreateDB-image](assets/Snowflake_udf_CreateDB.png)
 
-### JavaScript
+The **Results** displays a status message of `Database UDF_DB successfully created` if all went as planned.
 
-```javascript
-{ 
-  key1: "string", 
-  key2: integer,
-  key3: "string"
-}
+2. **Make Schema**
+
+```
+create schema if not exists udf_schema_public;
+```
+Use the above command to whip up a schema called ‘udf_schema_public.
+
+![Snowflake_udf_CreateSchema-image](assets/Snowflake_udf_CreateSchema.png)
+
+The **Results** show a status message of `Schema UDF_SCHEMA_PUBLIC successfully created`.
+
+3. **Copy Sample Data Into New Table**
+
+```
+create or replace table udf_db.udf_schema_public.sales as
+(select * from snowflake_sample_data.TPCDS_SF10TCL.store_sales
+ sample block (1));
+```
+Create a table named ‘sales’ and import the sales data with this command. Bear in mind, importing the sample data will take a longer time to execute than the previous steps.
+
+![Snowflake_udf_CreateTable-image](assets/Snowflake_udf_CreateTable.png)
+
+The **Results** will display a status of `Table SALES successfully created` if the sample data and table made it.
+
+With the necessary database objects created, it’s time to move onto the main course of working with a UDF in the next section.
+
+<!-- ------------------------ -->
+## Execute Scalar User-Defined Function
+Duration: 10
+
+With the database primed with sample sales data, we're *almost* ready to try creating a scalar UDF. Before diving in, let’s first understand more about UDF naming conventions. 
+
+If the function name doesn't specify the database and schema(e.x. `udf_db.udf_schema_public.udf_name`) then it defaults to the active session. Since UDFs are database objects, it's better to follow their [naming conventions](https://docs.snowflake.com/en/sql-reference/udf-overview.html#naming-conventions-for-udfs). For this quick practice, we'll rely on our active session.
+
+1. **Create UDF**
+
+```
+create function udf_max()
+  returns NUMBER(7,2)
+  as
+  $$
+    select max(SS_LIST_PRICE) from udf_db.udf_schema_public.sales
+  $$
+  ;
 ```
 
-### Java
+The [SQL function](https://docs.snowflake.com/en/sql-reference/functions/min.html#min-max) `max` returns the highest value in the column `SS_LIST_PRICE`. 
+
+![Snowflake_udf_max-image](assets/Snowflake_udf_max.png)
+
+The image shows the successful creation of function `udf_max`.
+
+2. **Call the UDF**
 
-```java
-for (statement 1; statement 2; statement 3) {
-  // code block to be executed
-}
 ```
+select udf_max();
+```
+Summon your new UDF with the [SQL command](https://docs.snowflake.com/en/sql-reference/sql/select.html) `select`.
+
+![Snowflake_select_udf_max-image](assets/Snowflake_select_udf_max.png)
+
+Pictured above is the returned **Results**.
+
+Now that you've practiced the basics of creating a UDF, we'll kick it up a notch in the next section by creating a UDF that returns a new table.
 
 <!-- ------------------------ -->
-## Hyperlinking and Embedded Images
-Duration: 1
-### Hyperlinking
-[Youtube - Halsey Playlists](https://www.youtube.com/user/iamhalsey/playlists)
 
-### Images
-![alt-text-here](assets/puppy.jpg)
+## Query With User-Defined Table Function
+Duration: 10
+
+After creating a successful scalar UDF, move onto making a function that returns a table with a UDTF(user-defined table function).
+
+1. **Create a UDTF**
+```
+create or replace function
+udf_db.udf_schema_public.get_market_basket(input_item_sk number(38))
+returns table (input_item NUMBER(38,0), basket_item_sk NUMBER(38,0),
+num_baskets NUMBER(38,0))
+as
+ 'select input_item_sk, ss_item_sk basket_Item, count(distinct
+ss_ticket_number) baskets
+from udf_db.udf_schema_public.sales
+where ss_ticket_number in (select ss_ticket_number from udf_db.udf_schema_public.sales where ss_item_sk = input_item_sk)
+group by ss_item_sk
+order by 3 desc, 2';
+```
+The code snippet above creates a function that returns a table with a market basket analysis.
+
+
+![Snowflake_udtf-image](assets/Snowflake_udtf.png)
+
+2. **Run the UDTF**
+```
+select * from table(udf_db.udf_schema_public.get_market_basket(6139));
+```
+ Just like for the scalar UDF, this will execute your function.
+![Snowflake_select_udtf-image](assets/Snowflake_select_udtf.png)
+
+Returned is the market basket analysis table based on the sample sales data.
+
+You've practiced making UDTFs and have become familiar with UDFs. In the last section, we'll remove our unneeded objects and talk next steps.
 
 <!-- ------------------------ -->
-## Other Stuff
-Duration: 1
+## Cleanup and Consider Secure User-Defined Functions
+Duration: 10
+
+We've covered a lot of ground! You've created a Snowflake account, configured role permissions, created database objects, queried with a custom UDF, and made a table to analyze data by creating a UDTF.
+
+Before we wrap-up, drop the practice database objects created in this guide.
+
+1. **Drop Table**
+
+```
+drop table if exists sales;
+```
+If a parent object(e.g., database) is removed without the child object(e.g., table) being dropped prior, the child’s data retention period is null. It’s best to By drop the child table object first with the command above.
+
+![Snowflake_udf_DropTable-image](assets/Snowflake_udf_DropTable.png)
+
+Ensure you've successfully dropped the table in the **Results** section.
+
+2. **Drop Schema**
+
+```
+drop schema if exists udf_schema_public;
+```
+The command above drops the schema `udf_schema_public`.
+
+![Snowflake_udf_schema_public_drop-image](assets/Snowflake_udf_schema_public_drop.png)
+
+The **Results** return should display `UDF_SCHEMA_PUBLIC successfully dropped`.
+
+3. **Drop Database**
+
+```
+drop database if exists udf_db;
+```
+
+Complete the process by dropping the parent object `udf_db`.
+
+![Snowflake_udf_DropDB-image](assets/Snowflake_udf_DropDB.png)
+
+Verify the database is entirely gone by checking the **Results** for `UDF_DB successfully dropped`. 
 
-Checkout the official documentation here: [Codelab Formatting Guide](https://github.com/googlecodelabs/tools/blob/master/FORMAT-GUIDE.md)
\ No newline at end of file
+With our database objects cleared, it's time to look ahead. You have a good handle on the versatility user-defined functions can provide in a snap with scalar and table types. Consider the potential in a sharable and [secure](https://docs.snowflake.com/en/sql-reference/udf-secure.html#secure-udfs) user-defined function. You can learn how to share user-defined functions, such as the market basket analysis table, following this post about [the power of secure UDFs](https://www.snowflake.com/blog/the-power-of-secure-user-defined-functions-for-protecting-shared-data/).
\ No newline at end of file
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diff --git a/site/devlabs/assets/Snowflake_select_udf_max.png b/site/devlabs/assets/Snowflake_select_udf_max.png
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diff --git a/site/devlabs/assets/Snowflake_udf_schema_public_drop.png b/site/devlabs/assets/Snowflake_udf_schema_public_drop.png
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From e0809cc0bd28cd4c03242d9e9820402fd2c26b2a Mon Sep 17 00:00:00 2001
From: Jessica Munoz <ms.jessica.munoz@gmail.com>
Date: Sat, 6 Feb 2021 14:56:59 -0800
Subject: [PATCH 13/27] It will back html inline code styling for account role
 names, codeblocks labeled with SQL language, Conclusion and Next Steps
 section with What we've covered subsection, and polished formatting.

---
 ...ing_Started_With_User-Defined_Functions.md | 110 ++++++++++++------
 1 file changed, 74 insertions(+), 36 deletions(-)

diff --git a/site/devlabs/Getting_Started_With_User-Defined_Functions.md b/site/devlabs/Getting_Started_With_User-Defined_Functions.md
index f405e28b3..50f864236 100644
--- a/site/devlabs/Getting_Started_With_User-Defined_Functions.md
+++ b/site/devlabs/Getting_Started_With_User-Defined_Functions.md
@@ -7,20 +7,23 @@ feedback link: https://github.com/Snowflake-Labs/devlabs/issues
 tags: Getting Started, SQL
 
 # Getting Started With User-Defined Functions
-<!-- ------------------------ -->
-## Overview 
-Duration: 10
 
-Sometimes the built-in system functions don't offer answers to the specific questions your organization has. Custom functions are necessary when managing and analyzing data, but crafting them isn't always straightforward. Snowflake provides a way to make diverse functions on the fly with user-defined functions(UDFs).
+## Overview
+
+Duration: 0:05:00
+
+Sometimes the built-in system functions don't offer answers to the specific questions your organization has. Custom functions are necessary when managing and analyzing data. Snowflake provides a way to make diverse functions on the fly with user-defined functions.
 
-This guide will walk you through getting set up with Snowflake and becoming familiar with creating and executing UDFs and user-defined table functions(UDTFs).
+This guide will walk you through getting set up with Snowflake and becoming familiar with creating and executing user-defined functions(UDFs) and user-defined table functions(UDTFs).
 
 Review the material below and start with the essentials in the following section.
 
 ### Prerequisites
+
 - Quick Video [Introduction to Snowflake](https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.)
 
 ### What You’ll Learn
+
 - Snowflake account and user permissions
 - Make database objects
 - Query with a user-defined scalar function
@@ -28,16 +31,19 @@ Review the material below and start with the essentials in the following section
 - Delete database objects
 - Review secure user-defined function
 
-### What You’ll Need 
+### What You’ll Need
+
 - [Snowflake](https://signup.snowflake.com/) Account
 
-### What You’ll Build 
+### What You’ll Build
+
 - Database objects and user-defined functions to query those objects.
 
 <!-- ------------------------ -->
 
 ## Begin With the Basics
-Duration: 10
+
+Duration: 0:05:00
 
 First, we'll go over how to create your Snowflake account and manage user permissions.
 
@@ -48,20 +54,22 @@ Snowflake lets you try out their services for free with a [trial account](https:
 2.  Access Snowflake’s Web Console
 
 `https://<account-name>.snowflakecomputing.com/console/login`
-    
+
 Log in to the [web interface](https://docs.snowflake.com/en/user-guide/connecting.html#logging-in-using-the-web-interface) from your browser. The URL contains your [account name](https://docs.snowflake.com/en/user-guide/connecting.html#your-snowflake-account-name) and potentially the region.
 
 3.  Increase Your Account Permission
 
 ![Snowflake_SwitchRole_DemoUser-image](assets/Snowflake_SwitchRole_DemoUser.png)
 
-Switch the account role from the default **SYSADMIN** to **ACCOUNTADMIN**. 
+Switch the account role from the default <code>SYSADMIN</code> to <code>ACCOUNTADMIN</code>.
 
 With your new account created and the role configured, you're ready to begin creating database objects in the following section.
 
 <!-- ------------------------ -->
+
 ## Generate Database Objects
-Duration: 10
+
+Duration: 0:10:00
 
 With your Snowflake account at your fingertips, it's time to create the database objects.
 
@@ -69,9 +77,10 @@ Within the Snowflake web console, navigate to **Worksheets** and use a fresh wor
 
 1. **Create Database**
 
-```
+```SQL
 create or replace database udf_db;
 ```
+
 Build your new database named `udf_db` with the command above.
 
 ![Snowflake_udf_CreateDB-image](assets/Snowflake_udf_CreateDB.png)
@@ -80,9 +89,10 @@ The **Results** displays a status message of `Database UDF_DB successfully creat
 
 2. **Make Schema**
 
-```
+```SQL
 create schema if not exists udf_schema_public;
 ```
+
 Use the above command to whip up a schema called ‘udf_schema_public.
 
 ![Snowflake_udf_CreateSchema-image](assets/Snowflake_udf_CreateSchema.png)
@@ -91,11 +101,12 @@ The **Results** show a status message of `Schema UDF_SCHEMA_PUBLIC successfully
 
 3. **Copy Sample Data Into New Table**
 
-```
+```SQL
 create or replace table udf_db.udf_schema_public.sales as
 (select * from snowflake_sample_data.TPCDS_SF10TCL.store_sales
  sample block (1));
 ```
+
 Create a table named ‘sales’ and import the sales data with this command. Bear in mind, importing the sample data will take a longer time to execute than the previous steps.
 
 ![Snowflake_udf_CreateTable-image](assets/Snowflake_udf_CreateTable.png)
@@ -105,16 +116,18 @@ The **Results** will display a status of `Table SALES successfully created` if t
 With the necessary database objects created, it’s time to move onto the main course of working with a UDF in the next section.
 
 <!-- ------------------------ -->
+
 ## Execute Scalar User-Defined Function
-Duration: 10
 
-With the database primed with sample sales data, we're *almost* ready to try creating a scalar UDF. Before diving in, let’s first understand more about UDF naming conventions. 
+Duration: 0:10:00
+
+With the database primed with sample sales data, we're _almost_ ready to try creating a scalar UDF. Before diving in, let’s first understand more about UDF naming conventions.
 
 If the function name doesn't specify the database and schema(e.x. `udf_db.udf_schema_public.udf_name`) then it defaults to the active session. Since UDFs are database objects, it's better to follow their [naming conventions](https://docs.snowflake.com/en/sql-reference/udf-overview.html#naming-conventions-for-udfs). For this quick practice, we'll rely on our active session.
 
 1. **Create UDF**
 
-```
+```SQL
 create function udf_max()
   returns NUMBER(7,2)
   as
@@ -124,17 +137,18 @@ create function udf_max()
   ;
 ```
 
-The [SQL function](https://docs.snowflake.com/en/sql-reference/functions/min.html#min-max) `max` returns the highest value in the column `SS_LIST_PRICE`. 
+The [SQL function](https://docs.snowflake.com/en/sql-reference/functions/min.html#min-max) `max` returns the highest value in the column `SS_LIST_PRICE`.
 
 ![Snowflake_udf_max-image](assets/Snowflake_udf_max.png)
 
-The image shows the successful creation of function `udf_max`.
+The image shows the successful creation of the function `udf_max`.
 
 2. **Call the UDF**
 
-```
+```SQL
 select udf_max();
 ```
+
 Summon your new UDF with the [SQL command](https://docs.snowflake.com/en/sql-reference/sql/select.html) `select`.
 
 ![Snowflake_select_udf_max-image](assets/Snowflake_select_udf_max.png)
@@ -146,12 +160,14 @@ Now that you've practiced the basics of creating a UDF, we'll kick it up a notch
 <!-- ------------------------ -->
 
 ## Query With User-Defined Table Function
-Duration: 10
+
+Duration: 0:10:00
 
 After creating a successful scalar UDF, move onto making a function that returns a table with a UDTF(user-defined table function).
 
 1. **Create a UDTF**
-```
+
+```SQL
 create or replace function
 udf_db.udf_schema_public.get_market_basket(input_item_sk number(38))
 returns table (input_item NUMBER(38,0), basket_item_sk NUMBER(38,0),
@@ -164,36 +180,40 @@ where ss_ticket_number in (select ss_ticket_number from udf_db.udf_schema_public
 group by ss_item_sk
 order by 3 desc, 2';
 ```
-The code snippet above creates a function that returns a table with a market basket analysis.
 
+The code snippet above creates a function that returns a table with a market basket analysis.
 
 ![Snowflake_udtf-image](assets/Snowflake_udtf.png)
 
 2. **Run the UDTF**
-```
+
+```SQL
 select * from table(udf_db.udf_schema_public.get_market_basket(6139));
 ```
- Just like for the scalar UDF, this will execute your function.
+
+Just like for the scalar UDF, this will execute your function.
+
 ![Snowflake_select_udtf-image](assets/Snowflake_select_udtf.png)
 
 Returned is the market basket analysis table based on the sample sales data.
 
-You've practiced making UDTFs and have become familiar with UDFs. In the last section, we'll remove our unneeded objects and talk next steps.
+You've practiced making UDTFs and have become familiar with UDFs. In the last section, we'll delete our unneeded database objects.
 
 <!-- ------------------------ -->
-## Cleanup and Consider Secure User-Defined Functions
-Duration: 10
 
-We've covered a lot of ground! You've created a Snowflake account, configured role permissions, created database objects, queried with a custom UDF, and made a table to analyze data by creating a UDTF.
+## Cleanup
 
-Before we wrap-up, drop the practice database objects created in this guide.
+Duration: 0:05:00
+
+We've covered a lot of ground! Before we wrap-up, drop the practice database objects created in this guide.
 
 1. **Drop Table**
 
-```
+```SQL
 drop table if exists sales;
 ```
-If a parent object(e.g., database) is removed without the child object(e.g., table) being dropped prior, the child’s data retention period is null. It’s best to By drop the child table object first with the command above.
+
+Begin by dropping the child object before dropping parent database objects. Use the command above to start by removing the table.
 
 ![Snowflake_udf_DropTable-image](assets/Snowflake_udf_DropTable.png)
 
@@ -201,9 +221,10 @@ Ensure you've successfully dropped the table in the **Results** section.
 
 2. **Drop Schema**
 
-```
+```SQL
 drop schema if exists udf_schema_public;
 ```
+
 The command above drops the schema `udf_schema_public`.
 
 ![Snowflake_udf_schema_public_drop-image](assets/Snowflake_udf_schema_public_drop.png)
@@ -212,7 +233,7 @@ The **Results** return should display `UDF_SCHEMA_PUBLIC successfully dropped`.
 
 3. **Drop Database**
 
-```
+```SQL
 drop database if exists udf_db;
 ```
 
@@ -220,6 +241,23 @@ Complete the process by dropping the parent object `udf_db`.
 
 ![Snowflake_udf_DropDB-image](assets/Snowflake_udf_DropDB.png)
 
-Verify the database is entirely gone by checking the **Results** for `UDF_DB successfully dropped`. 
+Verify the database is entirely gone by checking the **Results** for `UDF_DB successfully dropped`.
+
+<!-- ------------------------ -->
+
+## Conclusion and Next Steps
+
+Duration: 0:05:00
+
+You have a good handle on UDFs by practicing both scalar and table functions. With our database objects cleared, it's time to look ahead.
+
+Consider the potential in a sharable and [secure](https://docs.snowflake.com/en/sql-reference/udf-secure.html#secure-udfs) user-defined function. You can learn how to share user-defined functions, such as the market basket analysis table, following this post about [the power of secure UDFs](https://www.snowflake.com/blog/the-power-of-secure-user-defined-functions-for-protecting-shared-data/).
+
+### What we've covered
 
-With our database objects cleared, it's time to look ahead. You have a good handle on the versatility user-defined functions can provide in a snap with scalar and table types. Consider the potential in a sharable and [secure](https://docs.snowflake.com/en/sql-reference/udf-secure.html#secure-udfs) user-defined function. You can learn how to share user-defined functions, such as the market basket analysis table, following this post about [the power of secure UDFs](https://www.snowflake.com/blog/the-power-of-secure-user-defined-functions-for-protecting-shared-data/).
\ No newline at end of file
+- Registered a Snowflake account
+- Configured role permissions
+- Produced database objects
+- Queried with a custom UDF
+- Composed a table to analyze data with a UDTF
+- Eliminated database objects

From be9bbde0c878cfd24b9e9c0301a215f0c052c36e Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Tue, 23 Feb 2021 13:14:06 +0000
Subject: [PATCH 14/27] :memo: Update quides to better align to style guides

Guides now have an overview, key takeaways in line with the style guide
Headings are formatted in line with the style guide
Added intro / links to the security guide series
---
 .../ingestion_real_time_cdc_with_hvr.md       | 62 +++++++++----------
 .../security_access_to_sensitive_objects.md   | 38 ++++++++----
 .../security_authentication_pattern.md        | 61 ++++++++++++------
 .../security_network_architecture_pattern.md  | 40 ++++++++----
 4 files changed, 127 insertions(+), 74 deletions(-)

diff --git a/site/devlabs/ingestion_real_time_cdc_with_hvr.md b/site/devlabs/ingestion_real_time_cdc_with_hvr.md
index f582d347d..58e7ddc78 100644
--- a/site/devlabs/ingestion_real_time_cdc_with_hvr.md
+++ b/site/devlabs/ingestion_real_time_cdc_with_hvr.md
@@ -3,9 +3,9 @@ id: ingestion_real_time_cdc_with_hvr
 categories: patterns
 tags: patterns, ingestion, hvr
 status: Published
-# REAL-TIME DATA CAPTURE WITH HVR
+# Architecture Pattern : Real-Time Data Capture with HVR
 
-## PATTERN SUMMARY
+## Introduction
 
 HVR provides log based change data capture (CDC) rich replication from many sources to Snowflake. This includes
 capturing inserts, updates, and deletes as well as bulk data loads, data
@@ -16,7 +16,7 @@ replication of data.
 This pattern provides advice on when HVR is an
 appropriate solution
 
-## WHEN TO USE THIS PATTERN
+## When To Use This Pattern
 
 This pattern should be used when data needs to be
 extracted, in near real time, from its source in a traditional RDBMSs,
@@ -25,7 +25,7 @@ bseg, etc.) and loading into Snowflake.
 
 ![HVR_Hub_SourcesAndTargets-image](assets/HVR_Hub_SourcesAndTargets.png)
 
-## PATTERN DETAILS
+## Pattern Details
 
 To replicate data with HVR the following steps must be
 considered and implemented:
@@ -37,7 +37,7 @@ considered and implemented:
     synchronization
 5.  Data verification
 
-## STEP 1: Deployment of HVR hub and agents
+## Step 1: Deployment of HVR hub and agents
 
 HVR requires the deployment of a hub system.
 Additionally, users have the option of deploying agents. The hub can be
@@ -82,7 +82,7 @@ Snowflake.
 ![HVR_Hub_Collated-image](assets/HVR_Hub_Collocated.png)
 ![HVR_HubAndAgents-image](assets/HVR_HubAndAgents.png)
 
-## STEP 2: Configuration of Locations and Channels
+## Step 2: Configuration of Locations and Channels
 
 ### Locations
 
@@ -142,7 +142,7 @@ one capture action and one integrate action. Other actions include
 ColumnProperties, TableProperties, CollisionDetect, Transform, etc.
  [Full list of actions](https://www.hvr-software.com/docs/actions)
 
-## STEP 3: Job Initialization and Scheduling
+## Step 3: Job Initialization and Scheduling
 
 Once a channel is defined and after any changes to said
 channel definition it must then be initialized. Initialization creates
@@ -158,7 +158,7 @@ continuously.
 
 ![HVR_InitializeChannel-image](assets/HVR_InitializeChannel.png)
 
-## STEP 4: Initial Data Load and Location Synchronization
+## Step 4: Initial Data Load and Location Synchronization
 
 When replicating data in near real time, an initial
 data load is used to synchronize both the source and target to a point
@@ -168,7 +168,7 @@ to synchronize a source and target to fix errors. This refresh will
 utilize the channel definition including the location groups and actions
 to perform on the data. 
 
-## STEP 5: Data Verification
+## Step 5: Data Verification
 
 Finally, HVR has the ability to compare the data in the source and
 target system to verify that they are in sync or to identify the
@@ -178,9 +178,9 @@ level and takes into account actions defined in the channel definition.
 
 ![HVR_Compare-image](assets/HVR_Compare.png)
 
-## PATTERN EXAMPLE
+## Pattern Example
 
-### STEP 1: Deployment of HVR hub and agents
+### Step 1: Deployment of HVR hub and agents
 
 #### Installation of HVR
 
@@ -201,7 +201,7 @@ Install and configure clients for sources and targets:
 Verify your source RDBMS is configured with supplemental logging. 
 [For Oracle use the following](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-oracle#RequirementsforOracle-SupplementalLogging)
 
-### STEP 2: Configuration of Locations and Channels
+### Step 2: Configuration of Locations and Channels
 
 #### Setup Locations in HVR’s Location Configuration:
 
@@ -398,7 +398,7 @@ of a replication activity.
               2.  Select Integrate Action /Burst
               3.  Click OK.
 
-### STEP 3: Job Initialization and Scheduling
+### Step 3: Job Initialization and Scheduling
 
 Before replication can take place, HVR must assemble
 and deploy scripts and jobs. This is done via HVR Initialize. Any time
@@ -431,7 +431,7 @@ initial data load.
 2.  Find the job with \*-cap-\* in its name, Right
     click and select Start
 
-### STEP 4: Initial Data Load and Location Synchronization
+### Step 4: Initial Data Load and Location Synchronization
 
 #### Initial data load
 
@@ -462,7 +462,7 @@ during HVR Initialize.
 Changes will now be captured on the source, expanded,
 and integrated into the target.
 
-### STEP 5: Data Verification
+### Step 5: Data Verification
 
 If verification of data loads or continuous replication
 is needed an HVR Compare can be executed to confirm everything is in
@@ -482,22 +482,9 @@ tell you exactly what rows are different, and if Verbose SQL is selected
 exactly what SQL needs to be run on the target to get it back in sync
 with the source.
 
-## GUIDANCE
+## Conclusion
 
-### MISAPPLICATIONS TO AVOID
-
-None known at time of publication
-
-### INCOMPATIBILITIES
-
-HVR does not currently support Snowflake data type
-VARIANT, OBJECT, and ARRAY
-
-### OTHER IMPLICATIONS
-
-None known at time of publication
-
-### DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN
+### Key Takeaways
 
 This Pattern unlocks critical business data from proprietary encoded
 tables in SAP and delivers it to
@@ -518,9 +505,22 @@ to deliver data into Snowflake without requiring multiple hub
 installations. Adding more sources is as simple as adding location for
 them and defining how you want the data to flow.
 
+### Guidance
 
+#### Misapplications To Avoid
+
+None known at time of publication
+
+#### Incompatibilities
+
+HVR does not currently support Snowflake data type
+VARIANT, OBJECT, and ARRAY
+
+#### Other Implications
+
+None known at time of publication
 
-## RELATED RESOURCES
+### Related Resources
 
 The following related information is available.
 
diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index 7b8255e86..a7369b1a1 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -4,11 +4,20 @@ categories: patterns
 tags: patterns, security, rbac, objects, access
 status: Published 
 
-# Access to Sensitive Objects
+# Architecture Pattern : Access to Sensitive Objects
 
-## PATTERN SUMMARY
 
-The pattern outlined in this document provides an
+## Overview
+
+### Security Guides
+
+This guide is part of a series on Security. The guides are:
+- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
+- [Authentication](../security_authentication_pattern/index.html)
+- [Network Architecture](../security_network_architecture_pattern/index.html)
+
+### Access to Sensitive objects
+This pattern provides an
 approach for granting access to schemas containing sensitive data
 without creating a fork in the RBAC role hierarchy.  Forking the RBAC
 hierarchy is commonly prescribed in order to provide one role set which
@@ -33,9 +42,11 @@ row or column level security, or grant roles to users; each of which may
 also be required.  The scope of this pattern is simply how to provide
 visibility to the objects themselves.  
 
+### What you'll learn
 
+A technique for granting access rights in a simple way, while allowing powerful control over access to sensitive data.
 
-## WHEN TO USE THIS PATTERN
+## When To Use This Pattern
 
 This pattern implements well when the following
 conditions are true:
@@ -50,7 +61,7 @@ conditions are true:
     functional role.  The functional role could be at a group or
     individual level.  
 
-## PATTERN DETAILS
+## Pattern Details
 
 Objects in Snowflake are contained in a hierarchy of containers.
  Databases contain schemas which contain objects.  Each level of the
@@ -98,7 +109,7 @@ Key Points
     functional role which has been approved to access the sensitive
     data. 
 
-## PATTERN EXAMPLE
+## Pattern Example
 
 This is a working example of how this pattern could be
 implemented, within a particular context.
@@ -175,11 +186,16 @@ Fig 1.0 Suggested Approach
 
 Fig 2.0 Traditional Pattern
 
+## Conclusion
 
-## GUIDANCE
+### What we have learned
+1. Snowflake's Role Based Access Control enables complex access requirements to be developed through access and functional roles
+2. Snowflake can integrate with Enterprise permissions management systems
+3. Sensitive data access can be managed simply and clearly for users
 
+### Guidance
 
-### INCOMPATIBILITIES
+#### Incompatibilities
 
 1.  This pattern assumes a user should have the same
     access level permissions on objects in a database.  If the user
@@ -187,7 +203,7 @@ Fig 2.0 Traditional Pattern
     within the same database the model may need to be extended or a
     different model used.  
 
-### OTHER IMPLICATIONS
+#### Other Implications
 
 1.  Some applications which integrate with SCIM may not support all
     functionality required to properly manage this approach requiring
@@ -196,7 +212,7 @@ Fig 2.0 Traditional Pattern
 
 
 
-## DESIGN PRINCIPLES ENABLED BY THIS PATTERN
+### Design Principles Enabled by this Pattern
 
 With a traditional approach of having non-sensitive
 and sensitive versions of RBAC roles for a database and/or schema, the
@@ -211,7 +227,7 @@ the user is making is which datasets the user should be able to view.
 
 
 
-## BENEFITS ENABLED BY THIS PATTERN
+### Key Benefits of this Pattern
 
 The benefit of this pattern is when a user is
  reviewing the possible roles to request access to, they only see three
diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index f7ed33696..b1ef0f729 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -4,10 +4,18 @@ categories: patterns
 tags: patterns, authentication, security
 status: Published
 
-# Security - Authentication Pattern
+# Architecture Pattern : Security - Authentication 
 
-## INTRODUCTION
-### INTENDED AUDIENCE
+## Overview
+
+### Security Guides
+
+This guide is part of a series on Security. The guides are:
+- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
+- [Authentication](../security_authentication_pattern/index.html)
+- [Network Architecture](../security_network_architecture_pattern/index.html)
+
+### Intended Audience
 
 This document is for Enterprise and Solution Architects who want to
 understand the connectivity capabilities and best practices of Snowflake
@@ -15,7 +23,7 @@ and Snowflake Partner technologies. This document is
 not
 implementation example may be provided.
 
-### PATTERN SUMMARY
+### Pattern Summary
 
 Snowflake supports authentication methods that cover a number of
 scenarios, ranging from human interactive scenarios,  to programmatic
@@ -32,7 +40,7 @@ following scenarios:
 2.  Non-interactive authentication for non-human users, such as
     programmatic accounts and service accounts
 
-### WHEN TO USE THESE PATTERNS
+### When To Use These Patterns
 
 The patterns in this document satisfy one or more of the following
 requirements:
@@ -47,7 +55,14 @@ requirements:
 4.  Legal or contractual agreements require the organization to
     implement specific authentication methods. 
 
-## PATTERN DETAILS
+### What you'll learn
+
+How to apply two techniques for authenticating access to Snowflake:
+- Federated authentication
+- Key pairs
+
+
+## Pattern Details
 
 Across the three authentication patterns, there are five ways to
 authenticate to Snowflake: 
@@ -93,7 +108,7 @@ uses public keys to decrypt it and authenticate. A third option is
 External OAuth, which is the only method that allows for an SSO-based
 user credential in the programmatic scenario.
 
-## PATTERN EXAMPLE 1
+## Pattern Example 1
 
 Now let's look at two applications, Tableau and Microsoft Power BI,
  that support OAuth. The type of OAuth supported differs and in each
@@ -131,8 +146,7 @@ Snowflake administrators. Outages with an IdP may prevent Snowflake
 administrators whose passwords are stored in the IdP from logging in to
 Snowflake. In this case SAML SSO is not recommended and customers opt to
 maintain an administrator with a Snowflake password to manage federated
-authentication and troubleshoot any issues that occur.\
-\
+authentication and troubleshoot any issues that occur.
 SAML SSO is also not appropriate if the client applications do not
 support that method. Consider evaluating if the application supports an
 SSO-like experience similar to Power BI and Tableau. 
@@ -141,11 +155,11 @@ Some customers use Cloud Service Provider (CSP) private networking
 technologies such as AWS PrivateLink and Azure Private Link with the use
 of SAML SSO. This is an appropriate scenario but requires a choice.
 Currently customers can only configure single sign-on to either work
-with their regular, non-PrivateLink  URL, or with the PrivateLink URL.
+with their regular, non-PrivateLink URL, or with the PrivateLink URL.
 
-### GUIDANCE
+### Guidance
 
-#### INCOMPATIBILITIES
+#### Incompatibilities
 
 1.  At the time of this writing, SAML-based SSO can only be used on
     either public or private Snowflake endpoints at one time. This will
@@ -154,11 +168,11 @@ with their regular, non-PrivateLink  URL, or with the PrivateLink URL.
     at a time for each Snowflake Account for SSO. 
 3.  For SSO the web UI only supports SAML 2.
 
-#### OTHER IMPLICATIONS
+#### Other Implications
 
 Not applicable at the time of this writing.
 
-### DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN
+### Design Principles & Benefits Enabled by this Pattern
 
 The benefit of configuring Snowflake for federated authentication is
 users need to log in just once with one set of credentials to get access
@@ -179,7 +193,7 @@ of the systems users need to authenticate to Snowflake. This matrix
 needs to be considered along with the three scenarios described to
 enable SSO for as many systems as possible.
 
-## PATTERN EXAMPLE 2
+## Pattern example 2
 
 This pattern example compares when you should use key pair
 authentication for  non-human users versus when you should use external
@@ -246,18 +260,18 @@ pair, that answer lives in Snowflake. This model also supports examples
 where customers want to deprovision service identities from a
 centralized place.  
 
-### GUIDANCE 
+### Guidance 
 
-#### INCOMPATIBILITIES
+#### Incompatibilities
 
 1.  Snowflake OAuth is not applicable in the programmatic scenario.
     External OAuth should be used.
 
-#### OTHER IMPLICATIONS
+#### Other Implications
 
 Not applicable at the time of this writing.
 
-### DESIGN PRINCIPLES & BENEFITS ENABLED BY THIS PATTERN
+### Design Principles & Benefits Enabled by this Pattern
 
 The benefits of configuring Snowflake for Key Pair Authentication
 include:
@@ -274,8 +288,15 @@ exclusively for programmatic access will only ever be able to use
 Snowflake data when going through the External OAuth configured service.
 Customers benefit from sessions initiated with Snowflake do not require
 a password and only initiate their sessions through external OAuth.
+## Conclusion
+
+### Key Takeaways
+
+1. Snowflake allows multiple authentication methods
+2. Single Sign On and OAuth can be used
+3. Service accounts have special considerations in how they should be used, with key-pair authentication providing an option
 
-## RELATED RESOURCES
+### Related Resources
 
 The following related information is available.
 
diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index 4d645fd1d..93b2011e4 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -4,9 +4,17 @@ categories: patterns
 tags: patterns, security, network
 status: Published
 
-# Security - Network Architecture Pattern
+# Architecture Pattern - Security - Network 
+## Overview
 
-## INTENDED AUDIENCE
+### Security Guides
+
+This guide is part of a series on Security. The guides are:
+- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
+- [Authentication](../security_authentication_pattern/index.html)
+- [Network Architecture](../security_network_architecture_pattern/index.html)
+
+### Intended audience
 
 This document is for Enterprise and Solution Architects who want to
 understand the connectivity capabilities and best practices of Snowflake
@@ -14,7 +22,7 @@ and Snowflake Partner technologies. This document is
 not intended for use by implementation teams, although an
 implementation example is provided. 
 
-## PATTERN SUMMARY
+### Security - Network
 
 SaaS-style cloud data platforms present a number of network
 connectivity challenges. This is especially true with regards to
@@ -51,7 +59,7 @@ include:
 Alone or in combination, these measures comprise network connectivity
 patterns that are extremely secure.
 
-## WHEN TO USE 
+## When to use this pattern
 
 Consider patterns that incorporate Network Policies or private
 networking if any of the following requirements describe your
@@ -73,7 +81,7 @@ If your organization does not [have one or more of these
 requirements, then the out-of-the-box Snowflake network security
 controls are likely more than sufficient to meet your needs. 
 
-## PATTERN DETAILS
+## Pattern Details
 
 All Snowflake network connectivity architectures include five basic
 connections:
@@ -194,7 +202,7 @@ of DNS and routing. The Snowflake driver or connector is unaware of all
 the DNS and routing work, and therefore there is full support for this
 in all of the platforms for which Snowflake has drivers or connectors.
 
-## PATTERN EXAMPLE
+## Pattern Example
 
 Let's look at a real world example of how a customer applied all of
 these approaches in the same deployment. This customer is in the
@@ -245,9 +253,19 @@ connectivity to connect to systems running in their CSP private
 networks. Other users that also needed both sets of access used similar
 approaches.
 
-## GUIDANCE 
+## Conclusion
+
+Network access control is an important tool you can use as a part of securing access to Snowflake.
+
+### Key takeaways
 
-### MISAPPLICATIONS TO AVOID 
+1. The different components of the Snowflake service have different types of network access
+2. Network policies allow an additional layer of access control to the Snowflake Service
+3. CSP provider features such as PrivateLink can also provide an additional layer of security
+
+### Guidance 
+
+#### Misapplications to avoid 
 
 1.  Any design where a Network Policy is being used for every user
     is likely on the wrong path based on all evidence at the time
@@ -258,15 +276,13 @@ approaches.
     Consider CSP private networking only where large volumes of data or
     extremely sensitive data is flowing.
 
-### INCOMPATIBILITIES
-
+#### Incompatibilities
 1.  At the time of this writing, SAML-based SSO can only be used
     on either public URL or private URL (for CSP private networking
     integration) Snowflake endpoints at one time. This will be addressed
     in future releases.
 
-## RELATED RESOURCES
-
+### Related Resources
 
 - Snowflake community posts
  - [Setup Considerations When Integrating AWS PrivateLink with Snowflake](https://community.snowflake.com/s/article/Setup-Considerations-When-Integrating-AW S-PrivateLink-With-Snowflake&sa=D&ust=1608660555642000&usg=AOvVaw0 KBxtnlWlRTigNdRvsnmvH) 

From a19a2006aa6c6cef9c2e7040f536d9879ddfa1eb Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Tue, 2 Mar 2021 09:34:15 +0000
Subject: [PATCH 15/27] Apply suggestions from code review

Co-authored-by: Daniel Myers <jdanielmyers@gmail.com>
---
 site/devlabs/security_authentication_pattern.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index b1ef0f729..a22793137 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -95,7 +95,7 @@ the best supported method. Any SAML 2 compatible IdP can achieve this.
 Some partner applications also deliver federated SSO experiences
 leveraging OAuth 2.0, however, client application support for federated
 authentication varies. SAML 2 is an option in some cases through
-Snowflake's \"External Browser\" mode on the desktop. When a desktop
+Snowflake's "External Browser" mode on the desktop. When a desktop
 application is configured to use External Browser mode, a
 Snowflake-provided driver opens a new browser tab/window so the user can
 authenticate with their IdP credentials.  

From 462f24072cedabe738a02c6f486bda16fe1fb754 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Tue, 2 Mar 2021 09:58:48 +0000
Subject: [PATCH 16/27] :memo: Apply changes from code review

Remove slashes where not required.
Update roles to inline code style.
Remove extraneous URL parameters and resolve broken links due to URL escaping,
extraneous spaces etc.
---
 .../security_access_to_sensitive_objects.md   | 84 +++++++++----------
 .../security_authentication_pattern.md        | 44 ++++------
 .../security_network_architecture_pattern.md  | 28 +++----
 3 files changed, 71 insertions(+), 85 deletions(-)

diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index a7369b1a1..b888c73f7 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -128,55 +128,54 @@ implemented, within a particular context.
 
 ### Pattern Details
 
-1.  Database PROD\_DB contains two schemas,
-    PUBLIC\_SCHEMA and SENSITIVE\_SCHEMA.
-2.  A PROD\_DB\_RO role is created.  The following
+1.  Database `PROD_DB` contains two schemas,
+    `PUBLIC_SCHEMA` and `SENSITIVE_SCHEMA`.
+2.  A `PROD_DB_RO` role is created. The following
     privileges are granted to the role 
-    1.  USAGE on PROD\_DB
-    2.  USAGE on PUBLIC\_SCHEMA
-    3.  SELECT on all TABLES in PROD\_DB
-3.  A PROD\_DB\_RW role is created.  The following
+    1.  `USAGE` on `PROD_DB`
+    2.  `USAGE` on `PUBLIC_SCHEMA`
+    3.  `SELECT` on all `TABLES` in `PROD_DB`
+3.  A `PROD_DB_RW` role is created. The following
     privileges are granted to the role
-    1.  INSERT & UPDATE on all TABLES in  database
-        PROD\_DB
-    2.  PROD\_DB\_RO is granted to PROD\_DB\_RW
-4.  A PROD\_DB\_SENSITIVE is created.  The following
-    privileges are granted to the role:
-    1.  USAGE on schema SENSITIVE\_SCHEMA
+    1.  `INSERT` & `UPDATE` on all `TABLES` in database
+        `PROD_DB` 
+    2.  `PROD_DB_RO` is granted to `PROD_DB_RW`
+4.  A privileges are granted to the role:
+    1.  `USAGE` on schema `SENSITIVE_SCHEMA`
     2.  Note there are no lower level object grants to the
-        SENSITIVE schema role.  It also is not inherited nor does it inherit
-        other object access roles.  
-5.  A functional role, IT\_ANALYTICS\_ROLE  is
-    created.  This role will inherit the access level roles and be
-    granted to users.  This role will be activated by the user.
+        `SENSITIVE` schema role. It also is not inherited nor does it inherit
+        other object access roles. 
+5.  A functional role, `IT_ANALYTICS_ROLE` is
+    created. This role will inherit the access level roles and be
+    granted to users. This role will be activated by the user.
 6.  Within the enterprise identity governance and
     access management solution, the following roles will be listed for a
     user to request, with a user required to select at least one from
     each category:
     1.  Access roles:
-        1.  PROD\_DB\_RO
-        2.  PROD\_DB\_RW
-        3.  PROD\_DB\_SENSITIVE
+        1.  `PROD_DB_RO`
+        2.  `PROD_DB_RW`
+        3.  `PROD_DB_SENSITIVE`
     2.  Functional Roles
-        1.  IT\_ANALYTICS\_ROLE
+        1.  `IT_ANALYTICS_ROLE`
 7.  Scenario 1: Bill, an IT Business Analyst, requires
-    read write access to non sensitive data in PROD\_DB.  
-    1.  Bill already has the IT\_ANALYTICS granted to his
+    read write access to non sensitive data in `PROD_DB`.  
+    1.  Bill already has the IT_ANALYTICS granted to his
         user.  
-    2.  Bill requests PROD\_DB\_RW.  
-    3.  The PROD\_DB\_RW, after following the approval
-        process, is granted the IT\_ANALYTICS role.  Bill now has the
+    2.  Bill requests `PROD_DB_RW`.  
+    3.  The `PROD_DB_RW`, after following the approval
+        process, is granted the `IT_ANALYTICS` role.  Bill now has the
         read/write on all objects in the public schema. 
 8.  Scenario 2: Alice, an HR Business Analyst,
-    requires read access to PROD\_DB but also requires access to payroll
+    requires read access to `PROD_DB` but also requires access to payroll
     data kept within the sensitive schema.  
-    1.  Alice already has the HR\_ANALYSTS functional role
+    1.  Alice already has the `HR_ANALYSTS` functional role
         granted to her user.
-    2.  Alice requests the PROD\_DB\_RO role
-    3.  Alice requests the PROD\_DB\_SENSITIVE role
+    2.  Alice requests the `PROD_DB_RO` role
+    3.  Alice requests the `PROD_DB_SENSITIVE` role
     4.  After the appropriate approval process, the roles
-        are granted to the HR\_ANALYSTS role and Alice can now read all
-        tables in both the PUBLIC and SENSITIVE schemas.  
+        are granted to the `HR_ANALYSTS` role and Alice can now read all
+        tables in both the `PUBLIC` and `SENSITIVE` schemas.  
 
 ![Snowflake_RBAC_Suggested-image](assets/Snowflake_RBAC_Suggested.png)
 
@@ -198,19 +197,16 @@ Fig 2.0 Traditional Pattern
 #### Incompatibilities
 
 1.  This pattern assumes a user should have the same
-    access level permissions on objects in a database.  If the user
+    access level permissions on objects in a database. If the user
     indeed requires separate permissions levels for schemas contained
     within the same database the model may need to be extended or a
-    different model used.  
+    different model used.
 
 #### Other Implications
 
 1.  Some applications which integrate with SCIM may not support all
     functionality required to properly manage this approach requiring
-    custom SCIM
-    or JDBC integration.
-
-
+    custom SCIM or JDBC integration.
 
 ### Design Principles Enabled by this Pattern
 
@@ -230,17 +226,17 @@ the user is making is which datasets the user should be able to view.
 ### Key Benefits of this Pattern
 
 The benefit of this pattern is when a user is
- reviewing the possible roles to request access to, they only see three
+ reviewing the possible roles to request access to, they only see three
 roles and must decide 1) what privilege level do I need and 2) do I need
-access to sensitive data.  These decisions are made independently of
-each other.  In a typical model, this same hierarchy would require at
+access to sensitive data. These decisions are made independently of
+each other. In a typical model, this same hierarchy would require at
 least 4 roles, and each role would be a distinct set of combined
 privileges. More importantly, a legacy model would require at least 9
 grants to be made of privileges to roles whereas the suggested pattern
-only requires 5.  These numbers may seem insignificant, however as
+only requires 5. These numbers may seem insignificant, however as
 implementations of snowflake grow and evolve, simplification of RBAC
 hierarchies will be critical to successful extensibility and ease of
-management.  
+management.
 
 1.  Simplified RBAC Hierarchy
 2.  Simplified enterprise catalog of available
diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index a22793137..7a67ecdc7 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -31,7 +31,7 @@ service-account use cases. Client applications that connect to data
 sources like Snowflake typically have their own specifically supported
 authentication methods that vary from application to application.
 Consider BI tools, for example: Some support SAML 2.0 for single
-sign-on, while others don\'t. 
+sign-on, while others don't. 
 
 This document spotlights authentication patterns that support the
 following scenarios:
@@ -51,7 +51,7 @@ requirements:
     eliminates the need for users to maintain multiple passwords for
     different systems. 
 3.  The organization has service accounts that require an authentication
-    method that\'s more secure than username and password. 
+    method that's more secure than username and password. 
 4.  Legal or contractual agreements require the organization to
     implement specific authentication methods. 
 
@@ -113,8 +113,8 @@ user credential in the programmatic scenario.
 Now let's look at two applications, Tableau and Microsoft Power BI,
  that support OAuth. The type of OAuth supported differs and in each
 case the client application determines which technology you should use.
-We will start with Tableau.\
-\
+We will start with Tableau.
+
 When connecting to Snowflake, Tableau Desktop/Server/Online supports an
 SSO-like experience through Snowflake OAuth. This example is appropriate
 when customers want to provide an SSO-like experience to their Tableau
@@ -161,17 +161,13 @@ with their regular, non-PrivateLink URL, or with the PrivateLink URL.
 
 #### Incompatibilities
 
-1.  At the time of this writing, SAML-based SSO can only be used on
+1.  As of March 2021, SAML-based SSO can only be used on
     either public or private Snowflake endpoints at one time. This will
     be addressed in future releases. 
-2.   At the time of this writing, Snowflake only supports a single IdP
+2.  As of March 2021, Snowflake only supports a single IdP
     at a time for each Snowflake Account for SSO. 
 3.  For SSO the web UI only supports SAML 2.
 
-#### Other Implications
-
-Not applicable at the time of this writing.
-
 ### Design Principles & Benefits Enabled by this Pattern
 
 The benefit of configuring Snowflake for federated authentication is
@@ -179,13 +175,13 @@ users need to log in just once with one set of credentials to get access
 to all corporate apps, websites, and data for which they have
 permission. This benefits users in the form of simplicity as they do not
 have to manage multiple passwords for access to SaaS applications, data,
-or websites required to perform their job duties.\
-\
+or websites required to perform their job duties.
+
 The unification of user access management means there is a central
 directory to provision and deprovision users. Configuring SSO for
 Snowflake with any SAML 2.0 compliant IdP helps customers think of
 Snowflake as many other SaaS applications that use this common protocol.
- 
+
 
 SSO for human interactive use cases must consider the capabilities
 supported by Snowflake in concert with the authentication capabilities
@@ -196,10 +192,10 @@ enable SSO for as many systems as possible.
 ## Pattern example 2
 
 This pattern example compares when you should use key pair
-authentication for  non-human users versus when you should use external
+authentication for non-human users versus when you should use external
 OAuth for secure, programmatic access to Snowflake data. This example is
 relevant to programmatic or service account requirements that require
-access to Snowflake.  An evaluation of supported authentication methods
+access to Snowflake. An evaluation of supported authentication methods
 of service accounts and programmatic access requirements helps to
 determine which non-human user authentication methods to use with
 Snowflake. 
@@ -215,7 +211,7 @@ and the public key lives in Snowflake.
 
 An additional example appropriate for key pair authentication is if the
 customer wants to remove the management of the secret from the service
-account authenticating to Snowflake.  With key pair authentication, the
+account authenticating to Snowflake. With key pair authentication, the
 private key does not need to be in the possession of the user. The key
 is managed by code and therefore the service account itself is not in
 possession of the key. 
@@ -223,7 +219,7 @@ possession of the key.
 This example allows for the aggressive rotation of keys without
 disrupting connectivity. Since Snowflake allows for two active public
 key values at any time, consider this as part of the pattern. This
-example  is best used with a secrets management platform like Hashicorp
+example is best used with a secrets management platform like Hashicorp
 Vault, AWS Secrets Manager, or Azure Key Vault to manage the private
 key. 
 
@@ -244,21 +240,20 @@ has to go through the External OAuth configured service. Customers with
 this requirement may have additional requirements to centralize the
 monitoring of authorizations across a number of applications. Customers
 that do not wish to pass credentials over the wire or store secrets in
-Snowflake will find this method useful. 
+Snowflake will find this method useful.
 
 More specific examples where OAuth is appropriate include embedding
 Snowflake into your application where the application requires access to
 Snowflake, or if SAML cannot be accomplished because there is a program
 that requires access to Snowflake then OAuth is an appropriate pattern.
 
-
 Customers with centralized monitoring requirements should consider
 OAuth. With OAuth, customers can see delegated access to Snowflake and
 other applications such as Salesforce in one place. This differs from
 key pair in that, if I want to audit users authenticating through key
 pair, that answer lives in Snowflake. This model also supports examples
 where customers want to deprovision service identities from a
-centralized place.  
+centralized place.
 
 ### Guidance 
 
@@ -267,10 +262,6 @@ centralized place.  
 1.  Snowflake OAuth is not applicable in the programmatic scenario.
     External OAuth should be used.
 
-#### Other Implications
-
-Not applicable at the time of this writing.
-
 ### Design Principles & Benefits Enabled by this Pattern
 
 The benefits of configuring Snowflake for Key Pair Authentication
@@ -278,9 +269,7 @@ include:
 
 1.  The secret does not travel over the network
 2.  The user does not need the private key. 
-3.  Snowflake allows for the aggressive rotation of key pairs.  \
-    The outcome of key pair authentication is that it is more secure
-    than username and password. 
+3.  Snowflake allows for the aggressive rotation of key pairs. The outcome of key pair authentication is that it is more secure than username and password. 
 
 The result of External OAuth authentication is centralized management of
 tokens issued to Snowflake, and service accounts or users used
@@ -288,6 +277,7 @@ exclusively for programmatic access will only ever be able to use
 Snowflake data when going through the External OAuth configured service.
 Customers benefit from sessions initiated with Snowflake do not require
 a password and only initiate their sessions through external OAuth.
+
 ## Conclusion
 
 ### Key Takeaways
diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index 93b2011e4..e9710f805 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -146,7 +146,7 @@ connectivity.
 The second pattern is to  add Snowflake Network Policies to the
 out-of-the-box connectivity shown in Figure 1. The full scope of options
 for [Network Policies is discussed at length in the Snowflake
-documentation(https://docs.snowflake.com/en/user-guide/network-policies.html&sa=D&ust=1608660555636000&usg=AOvVaw0fln45ribJ65YZRAZd3B09).
+documentation](https://docs.snowflake.com/en/user-guide/network-policies.html).
 For this discussion we will only note a few details that could affect
 architectural considerations:
 
@@ -155,19 +155,19 @@ architectural considerations:
 2.  One can apply a Network Policy to the entire Snowflake account, to
     specific integrations that have endpoints for network communications 
     exposed on channel 1 e.g.
-    [SCIM](https://docs.snowflake.com/en/user-guide/scim-okta.html%23managing-scim-network-policies&sa=D&ust=1608660555637000&usg=AOvVaw0TwE5tPJz7HWyKKAhghe7X),
+    [SCIM](https://docs.snowflake.com/en/user-guide/scim-okta.html#managing-scim-network-policies),
     or to specific Snowflake Users. The most specific Policy always
     wins. 
 3.  There can be only one active Network Policy in any given context at
-    one time (e.g. only one per account, integration, or
+    one time (e.g.only one per account, integration, or
     user).
 
 The third pattern incorporates integration with Cloud Service Provider
 (CSP) private networking options. Right now the integrations available
 are with [AWS
-PrivateLink](https://docs.snowflake.com/en/user-guide/admin-security-privatelink.html&sa=D&ust=1608660555637000&usg=AOvVaw3DS8Sw1mfTxXHH-mQUUDkj) and
+PrivateLink](https://docs.snowflake.com/en/user-guide/admin-security-privatelink.html) and
 [Azure Private
-Link](https://docs.snowflake.com/en/user-guide/privatelink-azure.html&sa=D&ust=1608660555637000&usg=AOvVaw0xFGBgO9lxih6LxWZYi60m).
+Link](https://docs.snowflake.com/en/user-guide/privatelink-azure.html).
 These offerings from the CSPs offer a point-to-point, client-side
 initiated private network channel for communications. They do not have
 the downsides of VPN or peering, but still offer a point-to-point
@@ -285,16 +285,16 @@ Network access control is an important tool you can use as a part of securing ac
 ### Related Resources
 
 - Snowflake community posts
- - [Setup Considerations When Integrating AWS PrivateLink with Snowflake](https://community.snowflake.com/s/article/Setup-Considerations-When-Integrating-AW S-PrivateLink-With-Snowflake&sa=D&ust=1608660555642000&usg=AOvVaw0 KBxtnlWlRTigNdRvsnmvH) 
- - [HOWTO: Troubleshoot PrivateLink Configuration for Snowflake](https://community.snowflake.com/s/article/HowTo-Troubleshoot-Privatelink-configuration-for-Snowflake&sa=D&ust=1608660555642000&usg=AOvVaw09an1usJu4boVLW6RZrJlg)
- - [HOWTO: Block a Specific IP in Snowflake](https://community.snowflake.com/s/article/How-to-block-a-specific-IP-address-using-Network-Policies-in-Snowflake&sa=D& ust=1608660555643000&usg=AOvVaw1d HDpoNWSqD-DvHmrdyOUL)
+ - [Setup Considerations When Integrating AWS PrivateLink with Snowflake](https://community.snowflake.com/s/article/Setup-Considerations-When-Integrating-AWS-PrivateLink-With-Snowflake) 
+ - [HOWTO: Troubleshoot PrivateLink Configuration for Snowflake](https://community.snowflake.com/s/article/HowTo-Troubleshoot-Privatelink-configuration-for-Snowflake)
+ - [HOWTO: Block a Specific IP in Snowflake](https://community.snowflake.com/s/article/How-to-block-a-specific-IP-address-using-Network-Policies-in-Snowflake)
 - Snowflake documentation
- - [Snowflake Network Policies](https://docs.snowflake.com/en/user-guide/network-policies.html&sa=D&ust=1608660555644000&usg=AOvVaw1HnlcIB716s1iY2eSwmLN1)
- - [Applying Network Policy to a specific SCIM integration](https://docs.snowflake.com/en/user-guide/scim-okta.html%23managing-scim-network-policies&sa=D&ust=1608660555645000&usg=AOvVaw1KoDtqquPq5rdvXiPIp)
-   - e.g. [Okta in this case](https://docs.snowflake.com/en/user-guide/scim-okta.html%23managing-scim-network-policies&sa=D&ust=1608660555645000) 
- - [Snowflake AWS PrivateLink Integration](https://docs.snowflake.com/en/user-guide/network-policies.html&sa=D&ust=1608660555646000&usg=AOvVaw31CecZFXzAuqdn_LfXd82e) 
- - [Snowflake Azure Private Link Integration](https://docs.snowflake.com/en/user-guide/privatelink-azure.html&sa=D&ust=1608660555647000&usg=AOvVaw0tSUK-gnAAZU5cRcaTYVm3) 
- - [Summary of Snowflake Security Features](https://docs.snowflake.com/en/user-guide/admin-security.html&sa=D&ust=1608660555647000&usg=AOvVaw2BYQEouQULFaVQwAYCpL6y)
+ - [Snowflake Network Policies](https://docs.snowflake.com/en/user-guide/network-policies.html)
+ - [Applying Network Policy to a specific SCIM integration](https://docs.snowflake.com/en/user-guide/scim-okta.html#managing-scim-network-policies)
+   - e.g. [Okta in this case](https://docs.snowflake.com/en/user-guide/scim-okta.html#managing-scim-network-policies) 
+ - [Snowflake AWS PrivateLink Integration](https://docs.snowflake.com/en/user-guide/network-policies.html) 
+ - [Snowflake Azure Private Link Integration](https://docs.snowflake.com/en/user-guide/privatelink-azure.html) 
+ - [Summary of Snowflake Security Features](https://docs.snowflake.com/en/user-guide/admin-security.html)
 - Partner documentation 
  - [AWS PrivateLink Product Page](https://aws.amazon.com/privatelink/&sa=D&ust=1608660555648000&usg=AOvVaw16Wgd1tOdpAgnOMU3hiYII) 
  - [AWS PrivateLink Documentation](https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html%23what-is-privatelink&sa=D&ust=1608660555649000&usg=AOvVaw1Q1lpnr0FYZf_X3kHthIya)

From b87d772c07b974e0950f80ef613cc2f4a81efdc0 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:18:56 +0000
Subject: [PATCH 17/27] Update for consistency

Revise When to use this pattern to be a third level heading
---
 site/devlabs/security_access_to_sensitive_objects.md  | 2 +-
 site/devlabs/security_network_architecture_pattern.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index b888c73f7..459453fc6 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -46,7 +46,7 @@ visibility to the objects themselves.  
 
 A technique for granting access rights in a simple way, while allowing powerful control over access to sensitive data.
 
-## When To Use This Pattern
+### When To Use This Pattern
 
 This pattern implements well when the following
 conditions are true:
diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index e9710f805..82f054a11 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -59,7 +59,7 @@ include:
 Alone or in combination, these measures comprise network connectivity
 patterns that are extremely secure.
 
-## When to use this pattern
+### When to use this pattern
 
 Consider patterns that incorporate Network Policies or private
 networking if any of the following requirements describe your

From 78890e4a7669758a6a194350bcb3b5e6849b9219 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:21:58 +0000
Subject: [PATCH 18/27] Update pattern examples to include titles

e.g. Oauth / Key pair
---
 site/devlabs/security_authentication_pattern.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index 7a67ecdc7..6c94c791b 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -108,7 +108,7 @@ uses public keys to decrypt it and authenticate. A third option is
 External OAuth, which is the only method that allows for an SSO-based
 user credential in the programmatic scenario.
 
-## Pattern Example 1
+## Pattern Example - OAuth 
 
 Now let's look at two applications, Tableau and Microsoft Power BI,
  that support OAuth. The type of OAuth supported differs and in each
@@ -189,7 +189,7 @@ of the systems users need to authenticate to Snowflake. This matrix
 needs to be considered along with the three scenarios described to
 enable SSO for as many systems as possible.
 
-## Pattern example 2
+## Pattern example - Key Pair Authentication 
 
 This pattern example compares when you should use key pair
 authentication for non-human users versus when you should use external

From bcb96c58d428f536fb68030759134cbfb6c8c98a Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:24:41 +0000
Subject: [PATCH 19/27] Revise headers, add what you'll learn

---
 site/devlabs/security_network_architecture_pattern.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index 82f054a11..c18920681 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -22,7 +22,7 @@ and Snowflake Partner technologies. This document is
 not intended for use by implementation teams, although an
 implementation example is provided. 
 
-### Security - Network
+### Pattern Summary
 
 SaaS-style cloud data platforms present a number of network
 connectivity challenges. This is especially true with regards to
@@ -81,6 +81,9 @@ If your organization does not [have one or more of these
 requirements, then the out-of-the-box Snowflake network security
 controls are likely more than sufficient to meet your needs. 
 
+## What you'll learn
+
+How to apply network security policies to control access to Snowflake.
 ## Pattern Details
 
 All Snowflake network connectivity architectures include five basic

From 1154ea12585074a3aca6ef05d27cf6d9bbc4db7d Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:29:49 +0000
Subject: [PATCH 20/27] Revise what you'll learn and add detail on example

---
 site/devlabs/security_network_architecture_pattern.md | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index c18920681..ff6f2517e 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -81,9 +81,10 @@ If your organization does not [have one or more of these
 requirements, then the out-of-the-box Snowflake network security
 controls are likely more than sufficient to meet your needs. 
 
-## What you'll learn
+### What you'll learn
+
+How to apply network security policies to control access to Snowflake, how different component use the network and how to integrate with CSP networking features.
 
-How to apply network security policies to control access to Snowflake.
 ## Pattern Details
 
 All Snowflake network connectivity architectures include five basic
@@ -205,7 +206,7 @@ of DNS and routing. The Snowflake driver or connector is unaware of all
 the DNS and routing work, and therefore there is full support for this
 in all of the platforms for which Snowflake has drivers or connectors.
 
-## Pattern Example
+## Pattern Example - Pharmaceuticals
 
 Let's look at a real world example of how a customer applied all of
 these approaches in the same deployment. This customer is in the

From acaa9553a5d2f3e99cfea1ea1e54c26db9eae187 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:32:38 +0000
Subject: [PATCH 21/27] Revise headers

---
 site/devlabs/security_access_to_sensitive_objects.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index 459453fc6..161b16b68 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -109,7 +109,7 @@ Key Points
     functional role which has been approved to access the sensitive
     data. 
 
-## Pattern Example
+## Pattern Example - Sensitive RBAC Hierarchy
 
 This is a working example of how this pattern could be
 implemented, within a particular context.
@@ -121,7 +121,7 @@ implemented, within a particular context.
     a customer will be granted need to be listed in this catalog.  Given
     the volume of databases in schemas for the project, an emphasis on
     role reduction must be made.
-2.  The data set in snowflake will include two
+2.  The data set in Snowflake will include two
     sensitivity classifications.  Sensitive, which will have limited
     access,  and non sensitive which all users will have access
     to.

From ad6f005a9e71cbfc6c4618f5699d2a4fdf17b9b5 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:41:33 +0000
Subject: [PATCH 22/27] Add related resources to RBAC

---
 site/devlabs/security_access_to_sensitive_objects.md | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index 161b16b68..7f5a2a777 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -247,3 +247,13 @@ management.
     Access Management) or IGA (Identity Governance and Administration)
     tools
 
+### Related Resources
+
+- Snowflake community posts
+  - [Role Inheritance and Role Composition in Snowflake](https://community.snowflake.com/s/article/snowflake-rbac-security-prefers-role-inheritance-to-role-composition)
+- Snowflake Documentation
+  - [Access Control in Snowflake](https://docs.snowflake.com/en/user-guide/security-access-control.html)
+  - [Overview of Access Control](https://docs.snowflake.com/en/user-guide/security-access-control-overview.html)
+  - [Access Control Considerations](https://docs.snowflake.com/en/user-guide/security-access-control-considerations.html)
+  - [Access Control Privileges](https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html)
+  - [Configuring Access Control](https://docs.snowflake.com/en/user-guide/security-access-control-configure.html)

From 0ae7d2965093360110cfae48a0993bfedf6ec814 Mon Sep 17 00:00:00 2001
From: Duncan Turnbull <duncan.turnbull@snowflake.com>
Date: Mon, 22 Mar 2021 14:45:05 +0000
Subject: [PATCH 23/27] Add extra user documentation links

---
 site/devlabs/security_access_to_sensitive_objects.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index 7f5a2a777..54cd3f8d0 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -252,8 +252,10 @@ management.
 - Snowflake community posts
   - [Role Inheritance and Role Composition in Snowflake](https://community.snowflake.com/s/article/snowflake-rbac-security-prefers-role-inheritance-to-role-composition)
 - Snowflake Documentation
-  - [Access Control in Snowflake](https://docs.snowflake.com/en/user-guide/security-access-control.html)
+ - [Access Control in Snowflake](https://docs.snowflake.com/en/user-guide/security-access-control.html)
   - [Overview of Access Control](https://docs.snowflake.com/en/user-guide/security-access-control-overview.html)
   - [Access Control Considerations](https://docs.snowflake.com/en/user-guide/security-access-control-considerations.html)
   - [Access Control Privileges](https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html)
   - [Configuring Access Control](https://docs.snowflake.com/en/user-guide/security-access-control-configure.html)
+  - [User Management](https://docs.snowflake.com/en/user-guide/admin-user-management.html)
+  - [User & Security DDL](https://docs.snowflake.com/en/sql-reference/ddl-user-security.html)

From a95e1793cc49b447d318e16b642fde84072c8fc1 Mon Sep 17 00:00:00 2001
From: Daniel Myers <jdanielmyers@gmail.com>
Date: Mon, 22 Mar 2021 17:19:07 -0500
Subject: [PATCH 24/27] title case headers, typos, consistancy, remove hvr

---
 .../ingestion_real_time_cdc_with_hvr.md       | 528 ------------------
 .../security_access_to_sensitive_objects.md   |  20 +-
 .../security_authentication_pattern.md        |   7 +-
 .../security_network_architecture_pattern.md  |  17 +-
 4 files changed, 25 insertions(+), 547 deletions(-)
 delete mode 100644 site/devlabs/ingestion_real_time_cdc_with_hvr.md

diff --git a/site/devlabs/ingestion_real_time_cdc_with_hvr.md b/site/devlabs/ingestion_real_time_cdc_with_hvr.md
deleted file mode 100644
index 58e7ddc78..000000000
--- a/site/devlabs/ingestion_real_time_cdc_with_hvr.md
+++ /dev/null
@@ -1,528 +0,0 @@
-summary: Real-Time data capture with HVR
-id: ingestion_real_time_cdc_with_hvr
-categories: patterns
-tags: patterns, ingestion, hvr
-status: Published
-# Architecture Pattern : Real-Time Data Capture with HVR
-
-## Introduction
-
-HVR provides log based change data capture (CDC) rich replication from many sources to Snowflake. This includes
-capturing inserts, updates, and deletes as well as bulk data loads, data
-coercion and enrichment, error handling, queuing, metadata changes, and
-more. HVR has both the ability to do the initial data load and ongoing
-replication of data.
-
-This pattern provides advice on when HVR is an
-appropriate solution
-
-## When To Use This Pattern
-
-This pattern should be used when data needs to be
-extracted, in near real time, from its source in a traditional RDBMSs,
-including but not limited to SAP ECC pooled and clustered tables, (bsec,
-bseg, etc.) and loading into Snowflake. 
-
-![HVR_Hub_SourcesAndTargets-image](assets/HVR_Hub_SourcesAndTargets.png)
-
-## Pattern Details
-
-To replicate data with HVR the following steps must be
-considered and implemented:
-
-1.  Deployment of HVR hub and agents
-2.  Configuration of Locations and Channels
-3.  Job initialization and Scheduling
-4.  Initial data load and location
-    synchronization
-5.  Data verification
-
-## Step 1: Deployment of HVR hub and agents
-
-HVR requires the deployment of a hub system.
-Additionally, users have the option of deploying agents. The hub can be
-deployed in the following ways:
-
--   Bare Metal or Virtualized
--   On premises or in the cloud
--   On the source or alone
--   On Linux, Windows, Mac, Solaris(sparc or x64), or AIX(Power)  
-    [Full list of supported platforms](https://www.hvr-software.com/docs/introduction/platform-compatibility-matrix)
-
-Deciding where and how to deploy is largely based on
-what resources are available and what the customer is most comfortable
-with. This includes what OS, on premises or in the cloud, and
-virtualized or not. Deciding where to install the hub should include the
-following:
-
--   Is the source located on a supported platform where
-    additional software can be installed?
--   How many source locations are there?
-
-All data passes through the hub. 
-
-To utilize log-based CDC on a source either an agent or a hub must be
-deployed on the same host. This allows HVR to quickly and efficiently
-capture changes to the data. All communication between an agent and the
-hub can be encrypted and compressed (10x on average). Using agents distributes
-the load and can allow for scaling of data loads into target locations.
-Performance increases can be seen when deploying an agent in the same
-network/ VPC as the source or target even when not deployed on the same
-host.
-
-An HVR hub requires an RDBMS to store its repository of configuration
-and state information. [Full list of supported RDBMS for hub repository](https://www.hvr-software.com/docs/capabilities#Capabilities-HubDatabase). A source or target RDBMS can be used for this repository if
-it is convenient. This database only stores configurations and state
-information, none of the data being replicated is stored here.
-
-Client libraries are also required for connecting to
-locations. For example, to connect to Snowflake the Snowflake ODBC
-drivers must be installed on the host connecting to
-Snowflake.
-![HVR_Hub_Collated-image](assets/HVR_Hub_Collocated.png)
-![HVR_HubAndAgents-image](assets/HVR_HubAndAgents.png)
-
-## Step 2: Configuration of Locations and Channels
-
-### Locations
-
-HVR is unique in that its locations are not associated
-directly as a source or target. Locations are defined generically with
-the required connection information and not identified as a source or
-target till a channel is defined. Locations can be used in multiple
-channels and can be a source in one and a target in another.
-
-The first thing to configure in HVR are the locations of sources and
-targets. For this pattern the target is always Snowflake. It can be
-configured by defining the Snowflake server, port, role, warehouse,
-database, schema, username, and password. Each type of source requires
-different [connection information](https://www.hvr-software.com/docs/location-class-requirements)
-
-### Channels
-
-A Channel in HVR can be thought of as a path that data
-travels. Data that has the same sources, targets, and replication
-configurations can be configured in a single channel. Typically, these
-are defined by application borders. For example, you could define a
-channel that gets financial data from several sources and delivers them
-all to Snowflake for financial analytics. 
-
-![HVR_Channel-image](assets/HVR_Channel.png)
-
-A channel is made up of 3 main components: Location
-Groups, Tables, and Actions
-
-#### Location Groups
-
-Location Groups are defined as a group of locations
-from the location definition. Most channels will have two groups
-defined, a source and a target. This makes it possible to add and remove
-locations from the group with little effort or reconfiguration. Location
-groups also separate the location definition from the channel allowing
-you to configure or update the location once and all channels that use
-that location automatically pick up the changes.
-
-![HVR_LocationGroup-image](assets/HVR_LocationGroup.png)
-
-#### Tables
-
-Once location groups are configured you must identify
-the tables that are to be replicated. HVR allows this to be done
-interactively in the GUI by connecting to the RDBMS and reading metadata
-about the tables in the defined schema or via a formatted file and a
-command line tool. Once the tables are identified HVR will write
-metadata about the tables in the repository. This includes column names,
-data types, keys, etc.
-
-#### Actions
-
-Actions define how the data is to be captured from the source and how it
-will be integrated into the target. Most channels will require at least
-one capture action and one integrate action. Other actions include
-ColumnProperties, TableProperties, CollisionDetect, Transform, etc.
- [Full list of actions](https://www.hvr-software.com/docs/actions)
-
-## Step 3: Job Initialization and Scheduling
-
-Once a channel is defined and after any changes to said
-channel definition it must then be initialized. Initialization creates
-jobs that capture from the source and integrate data into the target.
-These jobs can run on the hub or on the agent depending on location
-definitions. This distribution of jobs allows the work to be distributed
-for performance.
-
-Jobs can be run continuously or on a schedule. HVR
-includes a scheduler service that manages this as well as retrying jobs
-in the event of failures. Capture and Integrate jobs will usually run
-continuously.
-
-![HVR_InitializeChannel-image](assets/HVR_InitializeChannel.png)
-
-## Step 4: Initial Data Load and Location Synchronization
-
-When replicating data in near real time, an initial
-data load is used to synchronize both the source and target to a point
-in time. HVR does this with a Refresh job. A refresh can be run
-interactively or scheduled and can be used for an initial data load or
-to synchronize a source and target to fix errors. This refresh will
-utilize the channel definition including the location groups and actions
-to perform on the data. 
-
-## Step 5: Data Verification
-
-Finally, HVR has the ability to compare the data in the source and
-target system to verify that they are in sync or to identify the
-differences and correct them. This feature can compare data at the table
-or row level. The compare utilizes a hash either at the table or row
-level and takes into account actions defined in the channel definition.
-
-![HVR_Compare-image](assets/HVR_Compare.png)
-
-## Pattern Example
-
-### Step 1: Deployment of HVR hub and agents
-
-#### Installation of HVR
-
-[Install and configure HVR Hub on Host 1 and Agent on Oracle RDBMS
-Host](https://www.hvr-software.com/docs/installing-and-upgrading-hvr)
-
-#### Configure Encryption
-
-[Configure Encryption between Hub and Agent](https://www.hvr-software.com/docs/configuring-hvr/encrypted-network-connection)
-
-#### Install Client tools
-
-Install and configure clients for sources and targets:
-[Snowflake Client](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-snowflake#RequirementsforSnowflake-ODBCConnection)
-
-#### Configure Source for CDC
-
-Verify your source RDBMS is configured with supplemental logging. 
-[For Oracle use the following](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-oracle#RequirementsforOracle-SupplementalLogging)
-
-### Step 2: Configuration of Locations and Channels
-
-#### Setup Locations in HVR’s Location Configuration:
-
-HVR needs to know how to connect to all locations
-included in replication
-
-Oracle Location (Source):
-
-1.  In the navigation tree pane, right–click 
-    **Location Configuration ▶ New Location**
-2.  Enter **Location** name and **Description** for the
-    location.
-3.  Point the connection to the local HVR Agent running
-    on the Source machine
-    1.  Click ‘Connect to HVR on remote machine’
-    2.  Enter the Node – Ip Address or fully qualified
-        hostname
-    3.  Chose the Port – 4343
-    4.  Specify the HVR OS Username and Password
-4.  Select Oracle in **Class**.
-5.  Provide Database Connection details.
-    For more information on Database
-    Connection fields, see section [Location Configuration](https://www.hvr-software.com/docs/Requirements_for_Oracle#Location_Configuration)
-    1.  Enter directory path for **ORACLE\_HOME**. You can also
-        click browse to select the directory path.
-    2.  Enter Oracle System ID in **ORACLE\_SID** or **TNS** credential or **RAC** credential.
-    3.  Enter user name of schema in User. For
-        example, **sourcedb**
-    4.  Enter password for schema in Password.
-        For example, **hvr**
-6.  Click **Test Connection** to verify the connection to the location
-    database.
-7.  Click **OK**.
-
-Snowflake Location (Target):
-
-1.  In the navigation tree pane, right–click **Location Configuration ▶ New Location**
-2.  Enter **Location** name and **Description** for the location.
-3.  Select **Snowflake** in **Class**.
-4.  Provide **Database Connection** details.
-    For more information on Database
-    Connection fields, see section [Location Configuration](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-snowflake)
-    Enter the following information
-    1.  Your Snowflake account URL in “Server”
-    2.  Port number for your Snowflake account (Default
-        is 443)
-    3.  Role (For required grants see [Grants for Integrate and Refresh Target](https://www.hvr-software.com/docs/location-class-requirements/requirements-for-snowflake%23RequirementsforSnowflake-GrantsforIntegrateandRefreshTarget)
-    4.  Warehouse
-    5.  Database
-    6.  Schema
-    7.  Username 
-    8.  Password
-5.  Click **Test Connection** to verify the connection to the location
-    database.
-6.  Click **OK**
-
-#### Create HVR Channel
-
-HVR uses Channels to define which locations are the
-Source and Target, how the data is captures from the Source, and how the
-data is integrated into the Target
-
-1.  In the navigation tree pane, right–click **Channel Definitions ▶ New Channel**
-2.  Enter **Channel** name and **Description** for the channel in the **New Channel** dialog.
-
-#### Create HVR Location Groups
-
-How to create location groups in a channel. The
-location groups are used for defining action on the location. Typically,
-a channel contains two location groups - one for the source location and
-one for the target location. Each location group can contain multiple
-locations.
-
-In this example, create one source location group (**SOURCE**) and one target location group (**TARGET**).
-
-1.  In the navigation tree pane, click + next
-    to the channel (**hvrdemo**).
-2.  Create source location group (**SOURCE**):
-    1.  Right–click **Location Groups ▶ New
-        Group**
-    2.  Enter **Group Name** and **Description** for the location
-        group.
-    3.  Select source location (**src**) from **Group Membership**.
-    4.  Click **OK**
-3.  Create target location group (**TARGET**):
-    1.  Right–click **Location Groups ▶ New
-        Group**.
-    2.  Enter **Group Name **and **Description** for the location
-        group.
-    3.  Select target location (**tgt**) from **Group Membership**.
-    4.  Click **OK**
-
-#### Select tables to replication
-
-The tables that are to be replicated must be added to
-HVR. This can be done via the GUI or through a file. You do not have to
-use both methods.
-
-##### Through the GUI:
-
-How to select the tables from source location for replication. Table Explore allows you to
-select schema(s) and/or table(s) for replication.
-
-1.  Right–click Tables ▶ Table
-    Explore.
-2.  Select source location (src) from the list.
-3.  Click Connect.
-4.  Select tables from Table
-    Explore dialog. Press Shift key to
-    select multiple tables or Ctrl+A to select
-    all tables.
-5.  Click Add to add the selected tables.
-6.  Click OK in HVR
-    Table Name dialog.
-7.  Click Close in Table Explore dialog.
-
-##### Through a file:
-
-How to select the tables from source location for replication. HVRAdapt command with a text
-file.
-
-1.  Create a flat file and place it on the HVR Hub  
-    SCHEMA.TABLE  
-    SCHEMA.TABLE  
-    …
-2.  Run the HVRAdapt command
-    Note: `&lt;connection string&gt;` can be copied from the HVR
-    Initialize Dialog box.  
-    Command:  
-    `hvradapt -n &lt;filename&gt; -l &lt;location name&gt; -h &lt;connection string&gt;`
-
-##### Add SAP Pooled and Clustered Tables
-
-To have HVR unpack SAP pooled and clustered tables 
-(**bsec** and **bseg**) from source location for replication do the
-following.
-
-In this example, when the Table Explore is performed with SAP Dictionaries selected, the SAP Transform Engine displays both the packed
-and unpacked tables.
-
-1.  Right–click Tables ▶ Table Explore.
-2.  Select source location (src) from the list.
-3.  Select SAP Dictionaries.
-4.  Enter SAP schema name in Schema if the SAP
-    Dictionary tables are in different schema.
-5.  Because the SAP database has large number of tables, it is
-    recommended to use the table Filter. To
-    filter the tables,
-
-
-1.  Click Edit.
-2.  Double-click &lt;Add Pattern&gt; in the
-    Table Filter dialog.
-3.  Enter the pattern. For example, bsec and
-    bseg.
-4.  Click OK.
-
-1.  Click Connect.
-2.  Select the unpacked tables from Table
-    Explore dialog. Press Shift key to
-    select multiple tables or Ctrl+A to select
-    all tables.
-
-### Define Actions
-
-Actions tell HVR where and how to capture and integrate
-data.
-
-How to define [Actions](https://www.hvr-software.com/docs/Action_Reference) on
-the location groups (SOURCE and TARGET). Actions define the behavior
-of a replication activity.
-
-1.  Define action [Capture](https://www.hvr-software.com/docs/Capture) to capture changes from all tables in the source
-    location group.
-      1.  For Non-SAP Source
-          1.  Right–click source location group SOURCE ▶ New
-              Action ▶ Capture.
-          2.  Click OK
-      2.  For SAP Source
-          1.  Define a Capture
-              1.  Right–click source location group SOURCE ▶ New
-                  Action ▶ Capture.
-              2.  Set Table to exclude packed tables
-              3.  Click OK
-          2.  Define a Transform
-              1.  Right-click target location group TARGET ▶ New
-                  Action ▶ Transform
-              2.  Set Table to include only packed tables
-              3.  Select /SAPXForm and /ExecOnHub
-              4.  Click OK
-          3.  Define action [Integrate](https://www.hvr-software.com/docs/Integrate)
-              1.  Right–click target location group TARGET ▶ New
-                  Action ▶ Integrate.
-              2.  Select Integrate Action /Burst
-              3.  Click OK.
-
-### Step 3: Job Initialization and Scheduling
-
-Before replication can take place, HVR must assemble
-and deploy scripts and jobs. This is done via HVR Initialize. Any time
-changes are made to a channel HVR must be Initialized.
-
-[HVR Initialize](https://www.hvr-software.com/docs/Hvrinit)
-first
-checks the channel and creates replication jobs in the [HVR Scheduler](https://www.hvr-software.com/docs/commands/hvrscheduler)
-
-In this example, HVR Initialize creates one capture job and one integrate job.
-
-1.  Right click on Channel Name select HVR
-    Initialize. 
-2.  Click Initialize
-
-### Start Capturing changes and perform initial data load
-
-HVR has been configured to capture changes from the
-source, extract packed tables from SAP, and integrate them into
-Snowflake.
-
-#### Start Capture
-
-The Capture job needs to be started before we do the initial data
-load so we can capture changes that happen while we run the
-initial data load.
-
-1.  Left click on the + sign next to the Scheduler at
-    the bottom of the HVR Hub Tree
-2.  Find the job with \*-cap-\* in its name, Right
-    click and select Start
-
-### Step 4: Initial Data Load and Location Synchronization
-
-#### Initial data load
-
-Before integrating inserts, updates, and deletes from
-the source system to the target system an initial data load is required.
-HVR calls this initial data load HVR Refresh.
-
-To get the target system in sync with the source system
-we must run a Refresh.
-
-1.  Right click on the name of the channel we created,
-    Select HVR Refresh
-    1.  Select All Tables if not already selected.
-    2.  Click Refresh
-
-#### Start replicating data from Source to Target
-
-With the initial data loaded and the capture job
-collecting new data from the source we need to begin integrating that
-data into the target. This is done by an integrate job that was created
-during HVR Initialize. 
-
-1.  Left click on the + sign next to the Scheduler at
-    the bottom of the HVR Hub Tree
-2.  Find the job with \*-integ-\* in its name, Right
-    click and select Start
-
-Changes will now be captured on the source, expanded,
-and integrated into the target.
-
-### Step 5: Data Verification
-
-If verification of data loads or continuous replication
-is needed an HVR Compare can be executed to confirm everything is in
-sync.
-
-1.  Left click on the name of the channel we created
-    and select HVR Compare
-2.  Select the source and target tables that you want
-    to Compare
-3.  Select if you want a Bulk or Row by Row
-    compare
-4.  Click compare
-
-The output will verify that the tables are in sync or
-will call out how they are different. With a row by row compare, HVR can
-tell you exactly what rows are different, and if Verbose SQL is selected
-exactly what SQL needs to be run on the target to get it back in sync
-with the source.
-
-## Conclusion
-
-### Key Takeaways
-
-This Pattern unlocks critical business data from proprietary encoded
-tables in SAP and delivers it to
-Snowflake. This enables analytics to run against real time
-data.
-
-HVR is unique in its ability to extract data from SAP
-ECC pooled and clustered tables as well as capture directly from the
-logs of SAP ECC and SAP HANA DBMS. Additionally, HVR can verify that
-data is in sync and allow for easy evolution of source and target
-systems without having to reimplement.
-
-With HVR it is easy to add additional source including
-many traditional RDBMSs (Oracle, MSSQL, MySQL, etc.), file systems
-(local, S3, etc.), and cloud platforms. Because of HVRs use of a
-centralized hub and agent architecture, you can configure many sources
-to deliver data into Snowflake without requiring multiple hub
-installations. Adding more sources is as simple as adding location for
-them and defining how you want the data to flow.
-
-### Guidance
-
-#### Misapplications To Avoid
-
-None known at time of publication
-
-#### Incompatibilities
-
-HVR does not currently support Snowflake data type
-VARIANT, OBJECT, and ARRAY
-
-#### Other Implications
-
-None known at time of publication
-
-### Related Resources
-
-The following related information is available.
-
-Partner Documentation:
-- [HVR Documentation](https://www.hvr-software.com/docs/)
diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index 54cd3f8d0..54e9faabc 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -6,7 +6,6 @@ status: Published
 
 # Architecture Pattern : Access to Sensitive Objects
 
-
 ## Overview
 
 ### Security Guides
@@ -16,7 +15,16 @@ This guide is part of a series on Security. The guides are:
 - [Authentication](../security_authentication_pattern/index.html)
 - [Network Architecture](../security_network_architecture_pattern/index.html)
 
-### Access to Sensitive objects
+### Intended Audience
+
+This document is for Enterprise and Solution Architects who want to
+understand the connectivity capabilities and best practices of Snowflake
+and Snowflake Partner technologies. This document is
+not
+implementation example may be provided.
+
+### Pattern Summary
+
 This pattern provides an
 approach for granting access to schemas containing sensitive data
 without creating a fork in the RBAC role hierarchy.  Forking the RBAC
@@ -42,10 +50,6 @@ row or column level security, or grant roles to users; each of which may
 also be required.  The scope of this pattern is simply how to provide
 visibility to the objects themselves.  
 
-### What you'll learn
-
-A technique for granting access rights in a simple way, while allowing powerful control over access to sensitive data.
-
 ### When To Use This Pattern
 
 This pattern implements well when the following
@@ -61,6 +65,10 @@ conditions are true:
     functional role.  The functional role could be at a group or
     individual level.  
 
+### What You'll Learn
+
+A technique for granting access rights in a simple way, while allowing powerful control over access to sensitive data.
+
 ## Pattern Details
 
 Objects in Snowflake are contained in a hierarchy of containers.
diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index 6c94c791b..d24521b09 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -40,7 +40,7 @@ following scenarios:
 2.  Non-interactive authentication for non-human users, such as
     programmatic accounts and service accounts
 
-### When To Use These Patterns
+### When To Use This Pattern
 
 The patterns in this document satisfy one or more of the following
 requirements:
@@ -55,13 +55,12 @@ requirements:
 4.  Legal or contractual agreements require the organization to
     implement specific authentication methods. 
 
-### What you'll learn
+### What You'll Learn
 
 How to apply two techniques for authenticating access to Snowflake:
 - Federated authentication
 - Key pairs
 
-
 ## Pattern Details
 
 Across the three authentication patterns, there are five ways to
@@ -189,7 +188,7 @@ of the systems users need to authenticate to Snowflake. This matrix
 needs to be considered along with the three scenarios described to
 enable SSO for as many systems as possible.
 
-## Pattern example - Key Pair Authentication 
+## Pattern Example - Key Pair Authentication 
 
 This pattern example compares when you should use key pair
 authentication for non-human users versus when you should use external
diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index ff6f2517e..54b4fece0 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -14,7 +14,7 @@ This guide is part of a series on Security. The guides are:
 - [Authentication](../security_authentication_pattern/index.html)
 - [Network Architecture](../security_network_architecture_pattern/index.html)
 
-### Intended audience
+### Intended Audience
 
 This document is for Enterprise and Solution Architects who want to
 understand the connectivity capabilities and best practices of Snowflake
@@ -51,15 +51,12 @@ include:
     out-of-the-box security, security-sensitive organizations typically
     implement Network Policies to specify which IP addresses can connect
     to the Snowflake data platform. 
-3.  **Integrating CSP capabilities that may add more security to network
-    connectivity**. A smaller number of organizations choose to
-    use cloud service provider features such as private networking if
-    they determine it's appropriate. 
+3.  **Integrating CSP capabilities that may add more security to network connectivity**. A smaller number of organizations choose to use cloud service provider features such as private networking if they determine it's appropriate. 
 
 Alone or in combination, these measures comprise network connectivity
 patterns that are extremely secure.
 
-### When to use this pattern
+### When To Use This Pattern
 
 Consider patterns that incorporate Network Policies or private
 networking if any of the following requirements describe your
@@ -81,9 +78,11 @@ If your organization does not [have one or more of these
 requirements, then the out-of-the-box Snowflake network security
 controls are likely more than sufficient to meet your needs. 
 
-### What you'll learn
+### What You'll Learn
 
-How to apply network security policies to control access to Snowflake, how different component use the network and how to integrate with CSP networking features.
+1. The different components of the Snowflake service have different types of network access
+2. Network policies allow an additional layer of access control to the Snowflake Service
+3. CSP provider features such as PrivateLink can also provide an additional layer of security
 
 ## Pattern Details
 
@@ -274,7 +273,7 @@ Network access control is an important tool you can use as a part of securing ac
 1.  Any design where a Network Policy is being used for every user
     is likely on the wrong path based on all evidence at the time
     of this writing. 
-2.  Many organisations will attempt to apply CSP private networking
+2.  Many organizations will attempt to apply CSP private networking
     technologies to many communication channels where it provides little
     additional security, but does add a lot of operational overhead.
     Consider CSP private networking only where large volumes of data or

From f4f182543af5f5487a86d02f328fb6f216b23149 Mon Sep 17 00:00:00 2001
From: Daniel Myers <jdanielmyers@gmail.com>
Date: Mon, 22 Mar 2021 21:06:54 -0500
Subject: [PATCH 25/27] adding catagories

---
 site/app/styles/_overrides.scss               |  3 +-
 .../security_access_to_sensitive_objects.md   | 49 +++++++++----------
 .../security_authentication_pattern.md        | 34 ++++++-------
 .../security_network_architecture_pattern.md  | 43 ++++++++--------
 site/package-lock.json                        |  6 +--
 site/package.json                             |  3 +-
 6 files changed, 63 insertions(+), 75 deletions(-)

diff --git a/site/app/styles/_overrides.scss b/site/app/styles/_overrides.scss
index 0e4f512d3..7101192ec 100644
--- a/site/app/styles/_overrides.scss
+++ b/site/app/styles/_overrides.scss
@@ -25,13 +25,14 @@
 /* Snowflake specific category classes */
 
 $color-resource-optimization: #134369;
-$color-demos2: #21a2e0;
 $color-getting-started: #5bc6d1;
 $color-demos: #c7477a;
+$color-architecture-patterns: #097e89;
 $color-data-applications: #282A72;
 $color-data-exchange: #282A72;
 @include codelab-card(['getting-started'], $color-getting-started, '');
 @include codelab-card(['resource-optimization'], $color-resource-optimization, '');
+@include codelab-card(['architecture-patterns'], $color-architecture-patterns, '');
 @include codelab-card(['demos'], $color-demos, '');
 @include codelab-card(['data-engineering'], $snowflake-blue, 'data-engineering.svg');
 @include codelab-card(['data-lake'], $star-blue, 'data-lake.svg');
diff --git a/site/devlabs/security_access_to_sensitive_objects.md b/site/devlabs/security_access_to_sensitive_objects.md
index 54e9faabc..b94fc412a 100644
--- a/site/devlabs/security_access_to_sensitive_objects.md
+++ b/site/devlabs/security_access_to_sensitive_objects.md
@@ -1,30 +1,13 @@
 summary: Security - Access to Sensitive Objects
 id: security_access_to_sensitive_objects
-categories: patterns
+categories: Architecture Patterns
 tags: patterns, security, rbac, objects, access
 status: Published 
 
-# Architecture Pattern : Access to Sensitive Objects
+# Architecture Pattern: Security - Access to Sensitive Objects
 
 ## Overview
 
-### Security Guides
-
-This guide is part of a series on Security. The guides are:
-- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
-- [Authentication](../security_authentication_pattern/index.html)
-- [Network Architecture](../security_network_architecture_pattern/index.html)
-
-### Intended Audience
-
-This document is for Enterprise and Solution Architects who want to
-understand the connectivity capabilities and best practices of Snowflake
-and Snowflake Partner technologies. This document is
-not
-implementation example may be provided.
-
-### Pattern Summary
-
 This pattern provides an
 approach for granting access to schemas containing sensitive data
 without creating a fork in the RBAC role hierarchy.  Forking the RBAC
@@ -45,11 +28,22 @@ to . Instead of the user having to request a sensitive role with its own
 access privileges, they can  simply request  the enabling of sensitive
 data access.
 
-This pattern does not prescribe  how to populate these objects,perform
+This pattern does not prescribe  how to populate these objects, perform
 row or column level security, or grant roles to users; each of which may
 also be required.  The scope of this pattern is simply how to provide
 visibility to the objects themselves.  
 
+### Pattern Series: Security
+
+This guide is part of a series on Security. The guides are:
+- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
+- [Authentication](../security_authentication_pattern/index.html)
+- [Network Architecture](../security_network_architecture_pattern/index.html)
+
+### Intended Audience
+
+This document is for Enterprise and Solution Architects who want to understand the connectivity capabilities and best practices of Snowflake and Snowflake Partner technologies. This document is not intended for use by implementation teams, although an implementation example is provided.
+
 ### When To Use This Pattern
 
 This pattern implements well when the following
@@ -67,7 +61,10 @@ conditions are true:
 
 ### What You'll Learn
 
-A technique for granting access rights in a simple way, while allowing powerful control over access to sensitive data.
+1. Snowflake's Role Based Access Control enables complex access requirements to be developed through access and functional roles
+2. Snowflake can integrate with Enterprise permissions management systems
+3. Sensitive data access can be managed simply and clearly for users
+
 
 ## Pattern Details
 
@@ -106,7 +103,7 @@ inheritance can be implemented using either SCIM2.0 API, JDBC calls to
 customer stored procedures, or calling procedures or executing SQL
 directly in Snowflake.
 
-Key Points
+#### Key Points
 
 1.  Even if a role has privileges on an object, if it does not have the
     USAGE privilege on the database and schema containing the object it
@@ -168,7 +165,7 @@ implemented, within a particular context.
         1.  `IT_ANALYTICS_ROLE`
 7.  Scenario 1: Bill, an IT Business Analyst, requires
     read write access to non sensitive data in `PROD_DB`.  
-    1.  Bill already has the IT_ANALYTICS granted to his
+    1.  Bill already has the `IT_ANALYTICS` granted to his
         user.  
     2.  Bill requests `PROD_DB_RW`.  
     3.  The `PROD_DB_RW`, after following the approval
@@ -195,7 +192,8 @@ Fig 2.0 Traditional Pattern
 
 ## Conclusion
 
-### What we have learned
+### What We've Covered
+
 1. Snowflake's Role Based Access Control enables complex access requirements to be developed through access and functional roles
 2. Snowflake can integrate with Enterprise permissions management systems
 3. Sensitive data access can be managed simply and clearly for users
@@ -227,9 +225,6 @@ properly trained and experienced with Snowflake RBAC.  With the model
 proposed in this pattern, the access level has already been determined,
 likely based on the organizational role of the user.  The only request
 the user is making is which datasets the user should be able to view.
- 
-
-
 
 ### Key Benefits of this Pattern
 
diff --git a/site/devlabs/security_authentication_pattern.md b/site/devlabs/security_authentication_pattern.md
index d24521b09..553b32520 100644
--- a/site/devlabs/security_authentication_pattern.md
+++ b/site/devlabs/security_authentication_pattern.md
@@ -1,30 +1,13 @@
 summary: Security - Authentication Pattern
 id: security_authentication_pattern
-categories: patterns
+categories: Architecture Patterns
 tags: patterns, authentication, security
 status: Published
 
-# Architecture Pattern : Security - Authentication 
+# Architecture Pattern: Security - Authentication 
 
 ## Overview
 
-### Security Guides
-
-This guide is part of a series on Security. The guides are:
-- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
-- [Authentication](../security_authentication_pattern/index.html)
-- [Network Architecture](../security_network_architecture_pattern/index.html)
-
-### Intended Audience
-
-This document is for Enterprise and Solution Architects who want to
-understand the connectivity capabilities and best practices of Snowflake
-and Snowflake Partner technologies. This document is
-not
-implementation example may be provided.
-
-### Pattern Summary
-
 Snowflake supports authentication methods that cover a number of
 scenarios, ranging from human interactive scenarios,  to programmatic
 service-account use cases. Client applications that connect to data
@@ -40,6 +23,17 @@ following scenarios:
 2.  Non-interactive authentication for non-human users, such as
     programmatic accounts and service accounts
 
+### Pattern Series: Security
+
+This guide is part of a series on Security. The guides are:
+- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
+- [Authentication](../security_authentication_pattern/index.html)
+- [Network Architecture](../security_network_architecture_pattern/index.html)
+
+### Intended Audience
+
+This document is for Enterprise and Solution Architects who want to understand the connectivity capabilities and best practices of Snowflake and Snowflake Partner technologies. This document is not intended for use by implementation teams, although an implementation example is provided.
+
 ### When To Use This Pattern
 
 The patterns in this document satisfy one or more of the following
@@ -279,7 +273,7 @@ a password and only initiate their sessions through external OAuth.
 
 ## Conclusion
 
-### Key Takeaways
+### What We've Covered
 
 1. Snowflake allows multiple authentication methods
 2. Single Sign On and OAuth can be used
diff --git a/site/devlabs/security_network_architecture_pattern.md b/site/devlabs/security_network_architecture_pattern.md
index 54b4fece0..63fc2f02a 100644
--- a/site/devlabs/security_network_architecture_pattern.md
+++ b/site/devlabs/security_network_architecture_pattern.md
@@ -1,29 +1,12 @@
 summary: Security - Network Architecture Pattern
 id: security_network_architecture_pattern
-categories: patterns
+categories: Architecture Patterns
 tags: patterns, security, network
 status: Published
 
-# Architecture Pattern - Security - Network 
+# Architecture Pattern: Security - Network 
 ## Overview
 
-### Security Guides
-
-This guide is part of a series on Security. The guides are:
-- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
-- [Authentication](../security_authentication_pattern/index.html)
-- [Network Architecture](../security_network_architecture_pattern/index.html)
-
-### Intended Audience
-
-This document is for Enterprise and Solution Architects who want to
-understand the connectivity capabilities and best practices of Snowflake
-and Snowflake Partner technologies. This document is
-not intended for use by implementation teams, although an
-implementation example is provided. 
-
-### Pattern Summary
-
 SaaS-style cloud data platforms present a number of network
 connectivity challenges. This is especially true with regards to
 security. In the past, traditional data platforms lived in the deepest,
@@ -56,6 +39,21 @@ include:
 Alone or in combination, these measures comprise network connectivity
 patterns that are extremely secure.
 
+### Pattern Series: Security
+
+This guide is part of a series on Security. The guides are:
+- [Access to sensitive objects](../security_access_to_sensitive_objects/index.html)
+- [Authentication](../security_authentication_pattern/index.html)
+- [Network Architecture](../security_network_architecture_pattern/index.html)
+
+### Intended Audience
+
+This document is for Enterprise and Solution Architects who want to
+understand the connectivity capabilities and best practices of Snowflake
+and Snowflake Partner technologies. This document is
+not intended for use by implementation teams, although an
+implementation example is provided. 
+
 ### When To Use This Pattern
 
 Consider patterns that incorporate Network Policies or private
@@ -260,7 +258,7 @@ approaches.
 
 Network access control is an important tool you can use as a part of securing access to Snowflake.
 
-### Key takeaways
+### What We've Covered
 
 1. The different components of the Snowflake service have different types of network access
 2. Network policies allow an additional layer of access control to the Snowflake Service
@@ -271,8 +269,7 @@ Network access control is an important tool you can use as a part of securing ac
 #### Misapplications to avoid 
 
 1.  Any design where a Network Policy is being used for every user
-    is likely on the wrong path based on all evidence at the time
-    of this writing. 
+    is likely on the wrong path based on all evidence as of March 2021. 
 2.  Many organizations will attempt to apply CSP private networking
     technologies to many communication channels where it provides little
     additional security, but does add a lot of operational overhead.
@@ -280,7 +277,7 @@ Network access control is an important tool you can use as a part of securing ac
     extremely sensitive data is flowing.
 
 #### Incompatibilities
-1.  At the time of this writing, SAML-based SSO can only be used
+1.  As of March 2021, SAML-based SSO can only be used
     on either public URL or private URL (for CSP private networking
     integration) Snowflake endpoints at one time. This will be addressed
     in future releases.
diff --git a/site/package-lock.json b/site/package-lock.json
index c7bd67a02..5882db3dc 100644
--- a/site/package-lock.json
+++ b/site/package-lock.json
@@ -1622,9 +1622,9 @@
       }
     },
     "caniuse-lite": {
-      "version": "1.0.30001131",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001131.tgz",
-      "integrity": "sha512-4QYi6Mal4MMfQMSqGIRPGbKIbZygeN83QsWq1ixpUwvtfgAZot5BrCKzGygvZaV+CnELdTwD0S4cqUNozq7/Cw==",
+      "version": "1.0.30001204",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001204.tgz",
+      "integrity": "sha512-JUdjWpcxfJ9IPamy2f5JaRDCaqJOxDzOSKtbdx4rH9VivMd1vIzoPumsJa9LoMIi4Fx2BV2KZOxWhNkBjaYivQ==",
       "dev": true
     },
     "caseless": {
diff --git a/site/package.json b/site/package.json
index 7e033b141..0568e029e 100644
--- a/site/package.json
+++ b/site/package.json
@@ -41,5 +41,6 @@
   },
   "engines": {
     "node": ">=0.10.0"
-  }
+  },
+  "dependencies": {}
 }

From 6ad4b3bac2b304e49efc19745152e6c455dd260b Mon Sep 17 00:00:00 2001
From: Daniel Myers <jdanielmyers@gmail.com>
Date: Tue, 23 Mar 2021 21:21:21 -0500
Subject: [PATCH 26/27] update sample

---
 site/devlabs/sample.md | 23 +++++++++++++++++------
 1 file changed, 17 insertions(+), 6 deletions(-)

diff --git a/site/devlabs/sample.md b/site/devlabs/sample.md
index 2b3d62eff..6500e48fa 100644
--- a/site/devlabs/sample.md
+++ b/site/devlabs/sample.md
@@ -14,7 +14,7 @@ Duration: 1
 
 Please use [this markdown file](https://raw.githubusercontent.com/Snowflake-Labs/devlabs/master/site/devlabs/sample.md) as a template for writing your own Snowflake Guides. This example guide has elements that you will use when writing your own guides, including: code snippet highlighting, downloading files, inserting photos, and more. 
 
-It is important to include on the first page of your guide the following sections: Prerequisites, What you'll learn, What you'll need, and What you'll build. Remember, part of the purpose of a Snowflake Guide is that the reader will have **built** something by the end of the tutorial; this means that actual code needs to be included (not just pseudo-code).
+It is important to include on the first page of your guide the following sections: Prerequisites, What you'll learn, What you'll need, and What you'll build. Remember, part of the purpose of a Snowflake Guide is that the reader will have **built** something by the end of the tutorial; this means that actual code needs to be included (not just pseudo-code or concepts).
 
 The rest of this Snowflake Guide explains the steps of writing your own guide. 
 
@@ -170,15 +170,26 @@ Duration: 1
 <<imports/sample_import.md>>
 
 <!-- ------------------------ -->
-## Conclusion
+## Conclusion & Next Steps
 Duration: 1
 
-At the end of your Snowflake Guide, always have a clear call to action (CTA). This CTA could be a link to the docs pages, links to videos on youtube, a GitHub repo link, etc. 
+The Conclusion and Next Steps section is one of the most important parts of a guide. This last section helps to sum up all the information the reader has gone through, and in many ways should read like a [TLDR summary](https://www.howtogeek.com/435266/what-does-tldr-mean-and-how-do-you-use-it/#post-435266:~:text=How%20Do%20You%20Use%20TLDR%3F,you%E2%80%99re%20the%20author%20or%20commenter.%20Using). 
 
-If you want to learn more about Snowflake Guide formatting, checkout the official documentation here: [Formatting Guide](https://github.com/googlecodelabs/tools/blob/master/FORMAT-GUIDE.md)
+There are three main sub-headers in a Conclusion step:
 
-### What we've covered
+1. a general conclusion paragraph (what you are reading now!)
+2. "What We've Covered" section with a bulleted list of things
+3. "Related Resources" with links to various other resources, other guides, docs, videos, GitHub source code, etc.
+
+It's also important to remember that by the time a reader has completed a Guide, the goal is that they have actually built something! Guides teach through hands-on examples -- not just explaining concepts.
+
+### What We've Covered
 - creating steps and setting duration
 - adding code snippets
 - embedding images, videos, and surveys
-- importing other markdown files
\ No newline at end of file
+- importing other markdown files
+
+### Related Resources
+- [SFGuides on GitHub](https://github.com/Snowflake-Labs/sfguides)
+- [Learn the GitHub Flow](https://guides.github.com/introduction/flow/)
+- [Learn How to Fork a project on GitHub](https://guides.github.com/activities/forking/)
\ No newline at end of file

From ce0348e853e5d93638f10708928c6ec2f814354a Mon Sep 17 00:00:00 2001
From: Daniel Myers <jdanielmyers@gmail.com>
Date: Thu, 1 Apr 2021 12:42:45 -0500
Subject: [PATCH 27/27] merge

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+summary: Guide to getting started with user-defined functions
+Id: getting_started_with_user_defined_functions
+categories: Getting Started, UDF
+environments: Web
+status: Published
+feedback link: https://github.com/Snowflake-Labs/devlabs/issues
+tags: Getting Started, SQL
+
+# Getting Started With User-Defined Functions
+
+## Overview
+
+Duration: 0:03:00
+
+Sometimes the built-in system functions don't offer answers to the specific questions your organization has. Custom functions are necessary when managing and analyzing data. Snowflake provides a way to make diverse functions on the fly with user-defined functions.
+
+This guide will walk you through getting set up with Snowflake and becoming familiar with creating and executing user-defined functions(UDFs) and user-defined table functions(UDTFs).
+
+Review the material below and start with the essentials in the following section.
+
+### Prerequisites
+
+- Quick Video [Introduction to Snowflake](https://www.youtube.com/watch?v=fEtoYweBNQ4&ab_channel=SnowflakeInc.)
+
+### What You’ll Learn
+
+- Snowflake account and user permissions
+- Make database objects
+- Query with a user-defined scalar function
+- Query with a user-defined table function
+- Delete database objects
+- Review secure user-defined function
+
+### What You’ll Need
+
+- [Snowflake](https://signup.snowflake.com/) Account
+
+### What You’ll Build
+
+- Database objects and user-defined functions to query those objects.
+
+<!-- ------------------------ -->
+
+## Begin With the Basics
+
+Duration: 0:03:00
+
+First, we'll go over how to create your Snowflake account and manage user permissions.
+
+1.  Create a Snowflake Account
+
+Snowflake lets you try out their services for free with a [trial account](https://signup.snowflake.com/). Follow the prompts to activate your account via email.
+
+2.  Access Snowflake’s Web Console
+
+`https://<account-name>.snowflakecomputing.com/console/login`
+
+Log in to the [web interface](https://docs.snowflake.com/en/user-guide/connecting.html#logging-in-using-the-web-interface) from your browser. The URL contains your [account name](https://docs.snowflake.com/en/user-guide/connecting.html#your-snowflake-account-name) and potentially the region.
+
+3.  Increase Your Account Permission
+
+![Snowflake_SwitchRole_DemoUser-image](assets/Snowflake_SwitchRole_DemoUser.png)
+
+Switch the account role from the default <code>SYSADMIN</code> to <code>ACCOUNTADMIN</code>.
+
+With your new account created and the role configured, you're ready to begin creating database objects in the following section.
+
+<!-- ------------------------ -->
+
+## Generate Database Objects
+
+Duration: 0:05:00
+
+With your Snowflake account at your fingertips, it's time to create the database objects.
+
+Within the Snowflake web console, navigate to **Worksheets** and use a fresh worksheet to run the following commands.
+
+1. **Create Database**
+
+```SQL
+create or replace database udf_db;
+```
+
+Build your new database named `udf_db` with the command above.
+
+![Snowflake_udf_CreateDB-image](assets/Snowflake_udf_CreateDB.png)
+
+The **Results** displays a status message of `Database UDF_DB successfully created` if all went as planned.
+
+2. **Make Schema**
+
+```SQL
+create schema if not exists udf_schema_public;
+```
+
+Use the above command to whip up a schema called `udf_schema_public`.
+
+![Snowflake_udf_CreateSchema-image](assets/Snowflake_udf_CreateSchema.png)
+
+The **Results** show a status message of `Schema UDF_SCHEMA_PUBLIC successfully created`.
+
+3. **Copy Sample Data Into New Table**
+
+```SQL
+create or replace table udf_db.udf_schema_public.sales as
+(select * from snowflake_sample_data.TPCDS_SF10TCL.store_sales
+ sample block (1));
+```
+
+Create a table named ‘sales’ and import the sales data with this command. Bear in mind, importing the sample data will take a longer time to execute than the previous steps.
+
+![Snowflake_udf_CreateTable-image](assets/Snowflake_udf_CreateTable.png)
+
+The **Results** will display a status of `Table SALES successfully created` if the sample data and table made it.
+
+With the necessary database objects created, it’s time to move onto the main course of working with a UDF in the next section.
+
+<!-- ------------------------ -->
+
+## Execute Scalar User-Defined Function
+
+Duration: 0:06:00
+
+With the database primed with sample sales data, we're _almost_ ready to try creating a scalar UDF. Before diving in, let’s first understand more about UDF naming conventions.
+
+If the function name doesn't specify the database and schema(e.x. `udf_db.udf_schema_public.udf_name`) then it defaults to the active session. Since UDFs are database objects, it's better to follow their [naming conventions](https://docs.snowflake.com/en/sql-reference/udf-overview.html#naming-conventions-for-udfs). For this quick practice, we'll rely on our active session.
+
+1. **Create UDF**
+
+```SQL
+create function udf_max()
+  returns NUMBER(7,2)
+  as
+  $$
+    select max(SS_LIST_PRICE) from udf_db.udf_schema_public.sales
+  $$
+  ;
+```
+
+The [SQL function](https://docs.snowflake.com/en/sql-reference/functions/min.html#min-max) `max` returns the highest value in the column `SS_LIST_PRICE`.
+
+![Snowflake_udf_max-image](assets/Snowflake_udf_max.png)
+
+The image shows the successful creation of the function `udf_max`.
+
+2. **Call the UDF**
+
+```SQL
+select udf_max();
+```
+
+Summon your new UDF with the [SQL command](https://docs.snowflake.com/en/sql-reference/sql/select.html) `select`.
+
+![Snowflake_select_udf_max-image](assets/Snowflake_select_udf_max.png)
+
+Pictured above is the returned **Results**.
+
+Now that you've practiced the basics of creating a UDF, we'll kick it up a notch in the next section by creating a UDF that returns a new table.
+
+<!-- ------------------------ -->
+
+## Query With User-Defined Table Function
+
+Duration: 0:06:00
+
+After creating a successful scalar UDF, move onto making a function that returns a table with a UDTF(user-defined table function).
+
+1. **Create a UDTF**
+
+```SQL
+create or replace function
+udf_db.udf_schema_public.get_market_basket(input_item_sk number(38))
+returns table (input_item NUMBER(38,0), basket_item_sk NUMBER(38,0),
+num_baskets NUMBER(38,0))
+as
+ 'select input_item_sk, ss_item_sk basket_Item, count(distinct
+ss_ticket_number) baskets
+from udf_db.udf_schema_public.sales
+where ss_ticket_number in (select ss_ticket_number from udf_db.udf_schema_public.sales where ss_item_sk = input_item_sk)
+group by ss_item_sk
+order by 3 desc, 2';
+```
+
+The code snippet above creates a function that returns a table with a market basket analysis.
+
+![Snowflake_udtf-image](assets/Snowflake_udtf.png)
+
+2. **Run the UDTF**
+
+```SQL
+select * from table(udf_db.udf_schema_public.get_market_basket(6139));
+```
+
+Just like for the scalar UDF, this will execute your function.
+
+![Snowflake_select_udtf-image](assets/Snowflake_select_udtf.png)
+
+Returned is the market basket analysis table based on the sample sales data.
+
+You've practiced making UDTFs and have become familiar with UDFs. In the last section, we'll delete our unneeded database objects.
+
+<!-- ------------------------ -->
+
+## Cleanup
+
+Duration: 0:03:00
+
+We've covered a lot of ground! Before we wrap-up, drop the practice database objects created in this guide.
+
+1. **Drop Table**
+
+```SQL
+drop table if exists sales;
+```
+
+Begin by dropping the child object before dropping parent database objects. Use the command above to start by removing the table.
+
+![Snowflake_udf_DropTable-image](assets/Snowflake_udf_DropTable.png)
+
+Ensure you've successfully dropped the table in the **Results** section.
+
+2. **Drop Schema**
+
+```SQL
+drop schema if exists udf_schema_public;
+```
+
+The command above drops the schema `udf_schema_public`.
+
+![Snowflake_udf_schema_public_drop-image](assets/Snowflake_udf_schema_public_drop.png)
+
+The **Results** return should display `UDF_SCHEMA_PUBLIC successfully dropped`.
+
+3. **Drop Database**
+
+```SQL
+drop database if exists udf_db;
+```
+
+Complete the process by dropping the parent object `udf_db`.
+
+![Snowflake_udf_DropDB-image](assets/Snowflake_udf_DropDB.png)
+
+Verify the database is entirely gone by checking the **Results** for `UDF_DB successfully dropped`.
+
+<!-- ------------------------ -->
+
+## Conclusion and Next Steps
+
+Duration: 0:02:00
+
+You have a good handle on UDFs by practicing both scalar and table functions. With our database objects cleared, it's time to look ahead.
+
+Consider the potential in a sharable and [secure](https://docs.snowflake.com/en/sql-reference/udf-secure.html#secure-udfs) user-defined function. You can learn how to share user-defined functions, such as the market basket analysis table, following this post about [the power of secure UDFs](https://www.snowflake.com/blog/the-power-of-secure-user-defined-functions-for-protecting-shared-data/).
+
+### What we've covered
+
+- Registered a Snowflake account
+- Configured role permissions
+- Produced database objects
+- Queried with a custom UDF
+- Composed a table to analyze data with a UDTF
+- Eliminated database objects