ChengkaiYang2022 commented on code in PR #20510:
URL: https://github.com/apache/flink/pull/20510#discussion_r945569096
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docs/content.zh/docs/try-flink/table_api.md:
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@@ -28,51 +28,49 @@ under the License.
# 基于 Table API 实现实时报表
-Apache Flink offers a Table API as a unified, relational API for batch and
stream processing, i.e., queries are executed with the same semantics on
unbounded, real-time streams or bounded, batch data sets and produce the same
results.
-The Table API in Flink is commonly used to ease the definition of data
analytics, data pipelining, and ETL applications.
+Apache Flink 提供 Table API 作为批流统一的关系型
API，例如，相同语法的查询在无界的实时流数据或者有界的批数据集上执行会得到一致的结果。
+Table API 在 Flink 中常被用于简化数据分析、数据流水线以及 ETL 应用的定义。
-## What Will You Be Building?
+## 你接下来要搭建的是什么系统？
-In this tutorial, you will learn how to build a real-time dashboard to track
financial transactions by account.
-The pipeline will read data from Kafka and write the results to MySQL
visualized via Grafana.
+在本教程中，你会学习到如何创建一个按账户追踪金融交易的实时看板。
Review Comment:
> Sorry,more tips?
I think it might be more fluent if we use
'通过' instead of '按'
and remove '如何'.
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