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new c410cad2 [Improve] Repo meatdata (#318)
c410cad2 is described below
commit c410cad2be02b362cce692608a64b860b3f11614
Author: zhengke zhou <[email protected]>
AuthorDate: Thu Jan 18 11:24:09 2024 +0800
[Improve] Repo meatdata (#318)
[Improve] Repo meatdata
---
README.md | 4 ++--
README_ZH.md | 4 ++--
docs/intro.md | 16 ++++++++--------
.../docusaurus-plugin-content-docs/current/intro.md | 9 +++++----
4 files changed, 17 insertions(+), 16 deletions(-)
diff --git a/README.md b/README.md
index f5ff8fb2..e4833806 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,10 @@
-# StreamPark Website
+# Apache StreamPark™ WebSite
[](https://www.apache.org/licenses/LICENSE-2.0.html)
[English](README.md) | [中文](README_ZH.md)
This is the repository containing all the source code of
`http://streampark.apache.org`.
-This guide will guide you how to contribute to the Apache
StreamPark(Incubating) website.
+This guide will guide you how to contribute to the Apache
StreamPark™(Incubating) website.
## Branch
diff --git a/README_ZH.md b/README_ZH.md
index e90b4728..65edb1fd 100644
--- a/README_ZH.md
+++ b/README_ZH.md
@@ -1,11 +1,11 @@
-# StreamPark Website
+# Apache StreamPark™ WebSite
[](https://www.apache.org/licenses/LICENSE-2.0.html)
[English](README.md) | [中文](README_ZH.md)
这是包含 `http://streampark.apache.org` 的所有源代码的存储库。
-本指南将指导您如何为 Apache StreamPark(Incubating) 的网站做出贡献。
+本指南将指导您如何为 Apache StreamPark™(Incubating) 的网站做出贡献。
## 分支
diff --git a/docs/intro.md b/docs/intro.md
index ab03de86..6ed75b7c 100644
--- a/docs/intro.md
+++ b/docs/intro.md
@@ -4,35 +4,35 @@ title: 'What is StreamPark'
sidebar_position: 1
---
-# StreamPark
+# Apache StreamPark™
+
make stream processing easier!!!
> An amazing framework makes stream processing easier.
-## 🚀 What is StreamPark
+## 🚀 What is Apache StreamPark™
-`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.
+`Apache 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.
-## Why StreamPark
+## Why Apache StreamPark™
Apache Flink and Apache Spark are widely used as the next generation of big
data streaming computing engines. Based on a bench of excellent experiences
combined with best practices, we extracted the task deployment and runtime
parameters into the configuration files. In this way, an easy-to-use
RuntimeContext with out-of-the-box connectors would bring easier and more
efficient task development experience. It reduces the learning cost and
development barriers, hence developers can focus [...]
On the other hand, It can be challenge for enterprises to use Flink & Spark if
there is no professional management platform for Flink & Spark tasks during the
deployment phase. StreamPark provides such a professional task management
platform, including task development, scheduling, interactive query,
deployment, operation, maintenance, etc.
## 🎉 Features
-* Apache Flink & Spark application development scaffold
+* Apache Flink & Apache Spark application development scaffold
* Support multiple versions of Flink & Spark
* Wide range of out-of-the-box connectors
* One-stop stream processing operation platform
* Support catalog、olap、streaming-warehouse etc.
* ...
+## 🏳🌈 Architecture of Apache StreamPark™
-## 🏳🌈 Architecture of StreamPark
-
-The overall architecture of StreamPark is shown in the following figure.
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.
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md
index 0f41e662..a94fbd35 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md
@@ -4,12 +4,13 @@ title: '框架介绍'
sidebar_position: 1
---
-# StreamPark
+# Apache StreamPark™
+
make stream processing easier!!!
> 一个神奇的框架,让流处理更简单
-## 🚀 什么是StreamPark
+## 🚀 什么是 Apache StreamPark™
实时即未来,在实时处理流域 `Apache Spark` 和 `Apache Flink` 是一个伟大的进步,尤其是 `Apache Flink`
被普遍认为是下一代大数据流计算引擎, 我们在使用 `Flink` & `Spark` 时发现从编程模型, 启动配置到运维管理都有很多可以抽象共用的地方,
我们将一些好的经验固化下来并结合业内的最佳实践, 通过不断努力诞生了今天的框架 —— `StreamPark`, 项目的初衷是 —— 让流处理更简单,
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`和`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
@@ -19,7 +20,7 @@ make stream processing easier!!!
## 🎉 Features
-* Apache Flink & Spark 应用程序开发脚手架
+* Apache Flink & Apache Spark 应用程序开发脚手架
* 支持多个版本的 Flink & Spark
* 一系列开箱即用的connectors
* 一站式流处理运营平台
@@ -28,7 +29,7 @@ make stream processing easier!!!
## 🏳🌈 组成部分
-`StreamPark` 核心由`streampark-core` 和 `streampark-console` 组成
+`Apache StreamPark` 核心由`streampark-core` 和 `streampark-console` 组成
