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Merge pull request #11 from Snowflake-Labs/iceberger_dev
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Merge Iceberger
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sfc-gh-bklein authored Oct 15, 2024
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -40,4 +40,5 @@ A solution can represent one of three types:
| [Data Model Mapper](https://github.com/Snowflake-Labs/sfguide-data-model-mapper/) | FRAMEWORK | A native app solution with no-code UI that helps consumers model, map, and share provider-standardized data to providers. |
| [Migrate Tasks to Dynamic Tables Notebook](https://snow.gitlab-dedicated.com/snowflakecorp/SE/sit/sln.emerging-solutions-toolbox/-/tree/master/helper-tasks-to-dynamic-tables) | HELPER | A notebook that helps users identify eligible Tasks that can be migrated to Dynamic Tables (DTs), with the option to examine the DT DDL and/or migrate. |
| [Migrate Non-Tasks to Dynamic Tables Notebook](https://snow.gitlab-dedicated.com/snowflakecorp/SE/sit/sln.emerging-solutions-toolbox/-/tree/master/helper-non_tasks-to-dynamic-tables) | HELPER | A notebook that helps users identify eligible repetitive commands, that are executed not using tasks, that can be migrated to Dynamic Tables (DTs), with the option to examine the DT DDL and/or migrate. |
| [Migrate Secure Views to Dynamic Tables Notebook](https://snow.gitlab-dedicated.com/snowflakecorp/SE/sit/sln.emerging-solutions-toolbox/-/tree/master/helper-secure-views-to-dynamic-tables) | HELPER | A notebook that helps users identify eligible secure views to migrate to Dynamic Tables (DT). |
| [Migrate Secure Views to Dynamic Tables Notebook](https://snow.gitlab-dedicated.com/snowflakecorp/SE/sit/sln.emerging-solutions-toolbox/-/tree/master/helper-secure-views-to-dynamic-tables) | HELPER | A notebook that helps users identify eligible secure views to migrate to Dynamic Tables (DT). |
| [Share (Ice)Berger Helper](https://snow.gitlab-dedicated.com/snowflakecorp/SE/sit/sln.emerging-solutions-toolbox/-/tree/iceberger_dev/helper-share-iceberger-helper) | HELPER | A Native app that helps Consumers turn Provider data into iceberg tables for external use
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201 changes: 201 additions & 0 deletions helper-share-iceberger-helper/LICENSE
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20 changes: 20 additions & 0 deletions helper-share-iceberger-helper/README.md
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# Share (Ice)Berger Helper
This app was designed to help providers of data give their consumers an easy method of creating iceberg tables over shared data. The application is easy to use, but does require a pre-existing external volume.
Details on how to create an external volume can be found here.
https://docs.snowflake.com/en/sql-reference/sql/create-external-volume

Copyright (c) 2024 Snowflake Inc. All Rights Reserved.

Please see TAGGING.md for details on object comments.

## Support Notice
All sample code is provided for reference purposes only. Please note that this code is provided “AS IS” and without warranty. Snowflake will not offer any support for use of the sample code.
Copyright (c) 2024 Snowflake Inc. All Rights Reserved.
The purpose of the code is to provide customers with easy access to innovative ideas that have been built to accelerate customers' adoption of key Snowflake features. We certainly look for customers' feedback on these solutions and will be updating features, fixing bugs, and releasing new solutions on a regular basis.
Please see TAGGING.md for details on object comments.

## Overview
This utilizes Streamlit, Snowpark, Tasks, and Iceberg Tables to bring you the experience.

To get started run provider_install.sql and follow its instructions!

13 changes: 13 additions & 0 deletions helper-share-iceberger-helper/TAGGING.md
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### Tagging
The Solution Innovation Team provides frameworks, accelerators, and other pieces of sample code to customers via multiple channels, ranging from specific 1:1 engagements to public open-source. As part of our continual improvement process for all of our code, we review how our customers are leveraging these tools, how that code is performing, and what functionality might need to be updated and aligned with the Snowflake core product. While our tagging of objects and sessions is meant to provide improvements back to our customers, we also understand that not all of our customers will maintain this tagging.

Some of the benefits for our customers for leaving the tagging in place include:

Performance improvements, cost optimization, or additional functionality
Communication of fixes, improvements, or alignment to Snowflake product features to customers that are leveraging the code
### FAQ
Q: Does Snowflake see our data?
A: Snowflake does not have the ability to see customer’s data, including data contained in objects that have these comment tags. Only telemetry data for the objects in these solutions are visible to Snowflake and viewed in aggregate.

Q: Do these tags affect performance?
A: Object comments and session-based Query Tags do not affect performance.
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5 changes: 5 additions & 0 deletions helper-share-iceberger-helper/code_artifacts/environment.yml
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name: sf_env
channels:
- snowflake
dependencies:
- snowflake-native-apps-permission
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