YngwieWang commented on a change in pull request #9350: [FLINK-13485] 
[chinese-translation] Translate "Table API Example Walkthrough" page into 
Chinese
URL: https://github.com/apache/flink/pull/9350#discussion_r310366003
 
 

 ##########
 File path: docs/getting-started/walkthroughs/table_api.zh.md
 ##########
 @@ -158,12 +162,12 @@ val tEnv = BatchTableEnvironment.create(env)
 </div>
 
 
-#### Registering Tables
+#### 注册表
 
-Next, tables are registered in the execution environment that you can use to 
connect to external systems for reading and writing both batch and streaming 
data.
-A table source provides access to data stored in external systems; such as a 
database, a key-value store, a message queue, or a file system.
-A table sink emits a table to an external storage system.
-Depending on the type of source and sink, they support different formats such 
as CSV, JSON, Avro, or Parquet.
+接下来,表将会被注册到运行环境之中,这样你就可以用它们去连接外部系统,从而对批数据或流数据进行读写操作。
+数据源像数据库、键-值存储、消息队列或者文件系统提供了一种从外部访问存储数据的方法。
 
 Review comment:
   ```suggestion
   table source 提供对存储在外部系统中的数据的访问;例如数据库,键-值存储,消息队列或文件系统。
   ```

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