lirui-apache commented on a change in pull request #11391: [FLINK-16098] 
[chinese-translation, Documentation] Translate "Overview" page of "Hive 
Integration" into Chinese
URL: https://github.com/apache/flink/pull/11391#discussion_r394759680
 
 

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 File path: docs/dev/table/hive/index.zh.md
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 @@ -24,25 +24,25 @@ specific language governing permissions and limitations
 under the License.
 -->
 
-[Apache Hive](https://hive.apache.org/) has established itself as a focal 
point of the data warehousing ecosystem.
-It serves as not only a SQL engine for big data analytics and ETL, but also a 
data management platform, where data is discovered, defined, and evolved.
+[Apache Hive](https://hive.apache.org/) 已经成为了数据仓库生态系统中的核心。
+它不仅仅是一个用于大数据分析和ETL场景的SQL引擎,同样它也是一个数据管理平台,可用于发现,定义,和演化数据。
 
-Flink offers a two-fold integration with Hive.
+Flink提供了两种和Hive集成的方式。
 
-The first is to leverage Hive's Metastore as a persistent catalog with Flink's 
`HiveCatalog` for storing Flink specific metadata across sessions.
-For example, users can store their Kafka or ElasticSearch tables in Hive 
Metastore by using `HiveCatalog`, and reuse them later on in SQL queries.
+第一种方式是利用了Hive的MetaStore作为持久化的目录,和Flink在`HiveCatalog`存储的特定元数据进行跨系统会话。
 
 Review comment:
   ```suggestion
   一是利用了Hive的MetaStore作为持久化的Catalog,用户可通过`HiveCatalog`将不同会话中的Flink元数据存储到Hive 
Metastore中。
   ```

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