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[Improve] Updated document links to ensure availability #327

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Jan 28, 2024
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[Improve] Updated document links to ensure availability #327

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8 changes: 4 additions & 4 deletions blog/5-streampark-usercase-dustess.md
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Expand Up @@ -100,13 +100,13 @@ In addition to the native parameters for Flink tasks, which are covered by the t
Programming model:

```
http://www.streamxhub.com/docs/development/dev-model
https://streampark.apache.org/docs/development/dev-model
```

Built-in Configuration File Parameters:

```
http://www.streamxhub.com/docs/development/config
https://streampark.apache.org/docs/development/config
```

In addition:
Expand Down Expand Up @@ -155,13 +155,13 @@ The community is currently very active. Since the end of November 2021, when Str
StreamPark's environment setup is very straightforward, following the official website's building tutorial you can complete the setup within a few hours. It now supports a front-end and back-end separation packaging deployment model, which can meet the needs of more companies, and there has already been a Docker Build related PR, suggesting that StreamPark's compilation and deployment will become even more convenient and quick in the future. Related documentation is as follows:

```
http://www.streamxhub.com/docs/user-guide/deployment
https://streampark.apache.org/docs/user-guide/deployment
```

For rapid implementation and production use, we chose the reliable On Yarn resource management mode (even though StreamPark already supports K8S quite well), and there are already many companies that have deployed using StreamPark on K8S, which you can refer to:

```
http://www.streamxhub.com/blog/flink-development-framework-streamx
https://streampark.apache.org/blog/flink-development-framework-streampark
```

Integrating StreamPark with the Hadoop ecosystem can be said to be zero-cost (provided that Flink is integrated with the Hadoop ecosystem according to the Flink official website, and tasks can be launched via Flink scripts).
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8 changes: 4 additions & 4 deletions i18n/zh-CN/docusaurus-plugin-content-blog/5-streampark-usercase-dustess.md
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Expand Up @@ -100,13 +100,13 @@ StreamPark 除了支持 Jar 上传，更提供了**在线更新构建**的功能
编程模型：

```
http://www.streamxhub.com/docs/development/dev-model
https://streampark.apache.org/docs/development/Programming-paradigm
```

内置配置文件参数：

```
http://www.streamxhub.com/docs/development/config
https://streampark.apache.org/docs/development/config
```

除此之外：
Expand Down Expand Up @@ -155,13 +155,13 @@ StreamPark 于 2021年11月成功被开源中国评选为GVP - Gitee「最有价
StreamPark 的环境搭建非常简单，跟随官网的搭建教程可以在小时内完成搭建。目前已经支持了前后端分离打包部署的模式，可以满足更多公司的需求，而且已经有 Docker Build 相关的 PR，相信以后 StreamPark 的编译部署会更加方便快捷。相关文档如下:

```
http://www.streamxhub.com/docs/user-guide/deployment
https://streampark.apache.org/docs/user-guide/deployment
```

为了快速落地和生产使用，我们选择了稳妥的 On Yarn 资源管理模式（虽然 StreamPark 已经很完善的支持 K8S），且已经有较多公司通过 StreamPark 落地了 K8S 部署方式，大家可以参考:

```
http://www.streamxhub.com/blog/flink-development-framework-streamx
https://streampark.apache.org/blog/flink-development-framework-streampark
```

StreamPark 整合 Hadoop 生态可以说是0成本的（前提是按照 Flink 官网将 Flink 与 Hadoop 生态整合，能够通过 Flink 脚本启动任务即可）
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