[GitHub] [incubator-hudi] yihua commented on a change in pull request #884: [HUDI-240] Translate Use Cases page

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yihua commented on a change in pull request #884: [HUDI-240] Translate Use Cases page
URL: https://github.com/apache/incubator-hudi/pull/884#discussion_r323895316
 
 

 ##########
 File path: docs/use_cases.cn.md
 ##########
 @@ -4,73 +4,65 @@ keywords: hudi, data ingestion, etl, real time, use cases
 sidebar: mydoc_sidebar
 permalink: use_cases.html
 toc: false
-summary: "Following are some sample use-cases for Hudi, which illustrate the benefits in terms of faster processing & increased efficiency"
+summary: "下面展示一些使用Hudi的示例，示例说明了加快处理速度和提高效率的好处"
 
 ---
 
 
 
-## Near Real-Time Ingestion
+## 近实时摄取
 
-Ingesting data from external sources like (event logs, databases, external sources) into a [Hadoop Data Lake](http://martinfowler.com/bliki/DataLake.html) is a well known problem.
-In most (if not all) Hadoop deployments, it is unfortunately solved in a piecemeal fashion, using a medley of ingestion tools,
-even though this data is arguably the most valuable for the entire organization.
+将外部源(如事件日志，数据库，外部源)的数据摄取到[Hadoop数据湖](http://martinfowler.com/bliki/DataLake.html)是一个众所周知的问题。
+尽管这些数据对整个组织来说是最有价值的，但不幸的是，在大多数(可能不是全部)Hadoop部署中都使用零散的方式解决，即使用混合摄取工具。
 
 
-For RDBMS ingestion, Hudi provides __faster loads via Upserts__, as opposed costly & inefficient bulk loads. For e.g, you can read the MySQL BIN log or [Sqoop Incremental Import](https://sqoop.apache.org/docs/1.4.2/SqoopUserGuide.html#_incremental_imports) and apply them to an
-equivalent Hudi table on DFS. This would be much faster/efficient than a [bulk merge job](https://sqoop.apache.org/docs/1.4.0-incubating/SqoopUserGuide.html#id1770457)
-or [complicated handcrafted merge workflows](http://hortonworks.com/blog/four-step-strategy-incremental-updates-hive/)
+对于RDBMS摄取，Hudi提供__通过更新插入更快地加载__，而不是昂贵且低效的批量加载。例如，您可以读取MySQL BIN日志或[Sqoop增量导入](https://sqoop.apache.org/docs/1.4.2/SqoopUserGuide.html#_incremental_imports)并将其应用于
 
 Review comment:
   “通过更新插入更快地加载” => “通过更新插入达到的更快加载”

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