leonardBang commented on code in PR #618:
URL: https://github.com/apache/flink-web/pull/618#discussion_r1141565329


##########
docs/content/posts/2023-03-09-release-1.17.0.md:
##########
@@ -0,0 +1,486 @@
+---
+authors:
+- LeonardXu:
+  name: "Leonard Xu"
+  twitter: Leonardxbj
+date: "2023-03-09T08:00:00Z" #FIXME: Change to the actual release date, also 
the date in the filename, and the directory name of linked images
+subtitle: ""
+title: Announcing the Release of Apache Flink 1.17
+aliases:
+- /news/2023/03/09/release-1.17.0.html #FIXME: Change to the actual release 
date
+---
+
+The Apache Flink PMC is pleased to announce Apache Flink release 1.17.0. Apache
+Flink is the leading stream processing standard, and the concept of unified
+stream and batch data processing is being successfully adopted in more and more
+companies. Thanks to our excellent community and contributors, Apache Flink
+continues to grow as a technology and remains one of the most active projects 
in
+the Apache Software Foundation. Flink 1.17 had 172 contributors 
enthusiastically
+participating and saw the completion of 7 FLIPs and 600+ issues, bringing many
+exciting new features and improvements to the community.
+
+
+# Towards Streaming Warehouses
+
+In order to achieve greater efficiency in the realm of [streaming
+warehouse](https://www.alibabacloud.com/blog/more-than-computing-a-new-era-led-by-the-warehouse-architecture-of-apache-flink_598821),
+Flink 1.17 contains substantial improvements to both the performance of batch
+processing and the semantics of streaming processing. These improvements
+represent a significant stride towards the creation of a more efficient and
+streamlined data warehouse, capable of processing large quantities of data in
+real-time.
+
+For batch processing, this release includes several new features and
+improvements:
+
+* **Streaming Warehouse API:**
+  
[FLIP-282](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=235838061)
+  introduces the new Delete and Update API in Flink SQL which works in(only) 
batch

Review Comment:
   It's a minor change, and I adopted @XComp 's comment, I will  improve this



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