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[Improve] Update StreamPark-console to streampark-console, StreamPark-core to streampark-core #330

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12 changes: 6 additions & 6 deletions docs/intro.md
Original file line number Diff line number Diff line change
Expand Up @@ -32,19 +32,19 @@ On the other hand, It can be challenge for enterprises to use Flink & Spark if t

## 🏳‍🌈 Architecture of Apache StreamPark™

The overall architecture of Apache StreamPark is shown in the following figure. Apache StreamPark consists of three parts, they are StreamPark-core and StreamPark-console.
The overall architecture of Apache StreamPark is shown in the following figure. Apache StreamPark consists of three parts, they are streampark-core and streampark-console.

![StreamPark Archite](/doc/image_en/streampark_archite.png)

### 1️⃣ Apache StreamPark™-core
### 1️⃣ streampark-core

The positioning of `StreamPark-core` is a framework uesd while developing, it focuses on coding development, regulates configuration files, and develops in the convention over configuration guide.
StreamPark-core provides a development-time RunTime Content and a series of out-of-the-box Connectors. Cumbersome operations are simplified by extending `DataStream-related` methods and integrating DataStream and `Flink sql` api .
The positioning of `streampark-core` is a framework uesd while developing, it focuses on coding development, regulates configuration files, and develops in the convention over configuration guide.
streampark-core provides a development-time RunTime Content and a series of out-of-the-box Connectors. Cumbersome operations are simplified by extending `DataStream-related` methods and integrating DataStream and `Flink sql` api .
development efficiency and development experience will be highly improved because users can focus on the business.

### 2️⃣ Apache StreamPark™-console
### 2️⃣ streampark-console

`StreamPark-console` is a comprehensive real-time `low code` data platform that can manage `Flink` tasks more convenient.
`streampark-console` is a comprehensive real-time `low code` data platform that can manage `Flink` tasks more convenient.
It integrates the experience of many best practices and integrates many functions such as project compilation, release,
parameter configuration, startup, `savepoint`, `flame graph`, `Flink SQL`, monitoring, etc.,
which greatly simplifies the daily operation of Flink tasks and maintenance. The ultimate goal is to create a one-stop big data platform,
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