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[Improve/Doc] remove steamxhub link (#296)
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caicancai authored Dec 1, 2023
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2 changes: 1 addition & 1 deletion docs/intro.md
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`StreamPark` is an easy-to-use stream processing application development framework and one-stop stream processing operation platform, Aimed at ease building and managing streaming applications, StreamPark provides scaffolding for writing streaming process logics with Apache Flink and Apache Spark.
StreamPark also provides a professional task management including task development, scheduling, interactive query, deployment, operation, maintenance, etc.

<video src="http://assets.streamxhub.com/streamx-video.mp4" controls="controls" width="100%" height="100%"></video>


## Why StreamPark

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4 changes: 2 additions & 2 deletions docs/user-guide/2-quickstart.md
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The following example demonstrates how to deploy a DataStream application

<video src="http://assets.streamxhub.com/datastream.mp4" controls="controls" width="100%" height="100%"></video>


### Deploy the FlinkSql task

The following example demonstrates how to deploy a FlinkSql application

<video src="http://assets.streamxhub.com//flinksql.mp4" controls="controls" width="100%" height="100%"></video>


- The flink sql used in the project demonstration is as follows

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2 changes: 1 addition & 1 deletion i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md
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使用 `StreamPark` 开发流处理作业, 可以极大降低学习成本和开发门槛, 让开发者只用关心最核心的业务,`StreamPark` 规范了项目的配置,鼓励函数式编程,定义了最佳的编程方式,提供了一系列开箱即用的`Connectors`,标准化了配置、开发、测试、部署、监控、运维的整个过程, 提供了`scala``java`两套 Api, 并且提供了一个一站式的流处理作业开发管理平台, 从流处理作业开发到上线全生命周期都
做了支持, 是一个一站式的流出来计算平台.

<video src="http://assets.streamxhub.com/streamx-video.mp4" controls="controls" width="100%" height="100%"></video>


## 🎉 Features

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下面的示例演示了如何部署一个 DataStream 应用

<video src="http://assets.streamxhub.com/datastream.mp4" controls="controls" width="100%" height="100%"></video>


### 部署 FlinkSql 任务

下面的示例演示了如何部署一个 FlinkSql 应用

<video src="http://assets.streamxhub.com//flinksql.mp4" controls="controls" width="100%" height="100%"></video>


- 项目演示使用到的 flink sql 如下

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