[FLINK-11531] [docs-zh] Translate the Home Page of flink docs into Ch…

…inese

This closes apache#8231

docs/index.md

@@ -56,6 +56,6 @@ Release notes cover important changes between Flink versions. Please carefully r
 
 - **Flink Forward**: Talks from past conferences are available at the [Flink Forward](https://flink-forward.org/) website and on [YouTube](https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA). [Robust Stream Processing with Apache Flink](https://2016.flink-forward.org/kb_sessions/robust-stream-processing-with-apache-flink/) is a good place to start.
 
-- **Training**: The [training materials](http:https://training.data-artisans.com/) from data Artisans include slides, exercises, and sample solutions.
+- **Training**: The [training materials](https:https://training.ververica.com/) from data Artisans include slides, exercises, and sample solutions.
 
-- **Blogs**: The [Apache Flink](https://flink.apache.org/blog/) and [data Artisans](https://data-artisans.com/blog/) blogs publish frequent, in-depth technical articles about Flink.
+- **Blogs**: The [Apache Flink](https://flink.apache.org/blog/) and [Ververica](https://www.ververica.com/blog) blogs publish frequent, in-depth technical articles about Flink.

docs/index.zh.md

@@ -24,38 +24,35 @@ under the License.
 -->
 
 
+本文档适用于 Apache Flink {{ site.version_title}} 版本。本页面最近更新于 {% build_time %}.
 
-This documentation is for Apache Flink version {{ site.version_title }}. These pages were built at: {% build_time %}.
+Apache Flink 是一个分布式流批一体化的开源平台。Flink 的核心是一个提供数据分发、通信以及自动容错的流计算引擎。Flink 在流计算之上构建批处理，并且原生的支持迭代计算，内存管理以及程序优化。
 
-Apache Flink is an open source platform for distributed stream and batch data processing. Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink builds batch processing on top of the streaming engine, overlaying native iteration support, managed memory, and program optimization.
+## 初步印象
 
-## First Steps
+- **概念**: 从 Flink 的 [数据流编程模型](concepts/programming-model.html) 和 [分布式执行环境](concepts/runtime.html) 开始了解最基本的概念。这能帮助你理解本文档的其他部分，包括如何搭建环境，进行程序编写等。建议你首先阅读此部分。
+- **教程**:
+ * [实现并运行一个 DataStream 作业](./tutorials/datastream_api.html)
+ * [搭建一个本地 Flink 集群](./tutorials/local_setup.html)
 
-- **Concepts**: Start with the basic concepts of Flink's [Dataflow Programming Model](concepts/programming-model.html) and [Distributed Runtime Environment](concepts/runtime.html). This will help you understand other parts of the documentation, including the setup and programming guides. We recommend you read these sections first.
+- **编程指南**: 你可以从 [基本 API 概念](dev/api_concepts.html), [DataStream API](dev/datastream_api.html) 以及 [DataSet API](dev/batch/index.html) 着手学习如何编写你的第一个 Flink 作业。
 
-- **Tutorials**: 
- * [Implement and run a DataStream application](./tutorials/datastream_api.html)
- * [Setup a local Flink cluster](./tutorials/local_setup.html)
+## 部署
+在线上环境运行你的 Flink 作业之前，请阅读 [生产环境注意事项检查清单](ops/production_ready.html)。
 
-- **Programming Guides**: You can read our guides about [basic API concepts](dev/api_concepts.html) and the [DataStream API](dev/datastream_api.html) or the [DataSet API](dev/batch/index.html) to learn how to write your first Flink programs.
+## 发布日志
 
-## Deployment
+发布日志包含了 Flink 版本之间的重大更新。请在你升级 Flink 之前仔细阅读相应的发布日志。
 
-Before putting your Flink job into production, read the [Production Readiness Checklist](ops/production_ready.html).
+* [Flink 1.8 的发布日志](release-notes/flink-1.8.html)。
+* [Flink 1.7 的发布日志](release-notes/flink-1.7.html)。
+* [Flink 1.6 的发布日志](release-notes/flink-1.6.html)。
+* [Flink 1.5 的发布日志](release-notes/flink-1.5.html)。
 
-## Release Notes
+## 外部资源
 
-Release notes cover important changes between Flink versions. Please carefully read these notes if you plan to upgrade your Flink setup to a later version. 
+- **Flink Forward**: 已举办的所有大会演讲均可在 [Flink Forward](https://flink-forward.org/) 官网以及 [YouTube](https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA)找到。[使用 Apache Flink 进行高可靠的流处理](https://2016.flink-forward.org/kb_sessions/robust-stream-processing-with-apache-flink/) 可以作为你第一个学习的资源。
 
-* [Release notes for Flink 1.8](release-notes/flink-1.8.html).
-* [Release notes for Flink 1.7](release-notes/flink-1.7.html).
-* [Release notes for Flink 1.6](release-notes/flink-1.6.html).
-* [Release notes for Flink 1.5](release-notes/flink-1.5.html).
+- **培训**: [培训资料](https://training.ververica.com/) 包含讲义，练习以及示例程序。
 
-## External Resources
-
-- **Flink Forward**: Talks from past conferences are available at the [Flink Forward](https://flink-forward.org/) website and on [YouTube](https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA). [Robust Stream Processing with Apache Flink](https://2016.flink-forward.org/kb_sessions/robust-stream-processing-with-apache-flink/) is a good place to start.
-
-- **Training**: The [training materials](https://training.data-artisans.com/) from data Artisans include slides, exercises, and sample solutions.
-
-- **Blogs**: The [Apache Flink](https://flink.apache.org/blog/) and [data Artisans](https://data-artisans.com/blog/) blogs publish frequent, in-depth technical articles about Flink.
+- **博客**: [Apache Flink](https://flink.apache.org/blog/) 以及 [Ververica](https://www.ververica.com/blog) 的博客会经常更新一些有关 Flink 的技术文章。