matriv commented on a change in pull request #17260:
URL: https://github.com/apache/flink/pull/17260#discussion_r707346566



##########
File path: docs/content/docs/dev/table/concepts/overview.md
##########
@@ -32,6 +32,79 @@ This means that Table API and SQL queries have the same 
semantics regardless whe
 
 The following pages explain concepts, practical limitations, and 
stream-specific configuration parameters of Flink's relational APIs on 
streaming data.
 
+State Management
+----------------
+
+Table programs that run in streaming mode leverage all capabilities of Flink 
as a stateful stream
+processor.
+
+In particular, a table program can be configured with a [state backend]({{< 
ref "docs/ops/state/state_backends" >}})
+and various [checkpointing options]({{< ref 
"docs/dev/datastream/fault-tolerance/checkpointing" >}})
+for handling large amounts of state and fault tolerance. It is possible to 
take a savepoint of a running

Review comment:
       A suggestion for the phrasing: `for handling different requirements 
regarding state and fault tolerance.`




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