Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into tamram22-0510

Author: tamram

articles/hdinsight/hbase/apache-hbase-overview.md

@@ -4,7 +4,7 @@ description: An introduction to Apache HBase in HDInsight, a NoSQL database buil
 ms.service: hdinsight
 ms.topic: overview
 ms.custom: hdinsightactive,hdiseo17may2017,seoapr2020
-ms.date: 04/20/2020
+ms.date: 05/11/2022
 
 #Customer intent: As a developer new to Apache HBase and Apache HBase in Azure HDInsight, I want to have a basic understanding of Microsoft's implementation of Apache HBase in Azure HDInsight so I can decide if I want to use it rather than build my own cluster.
 ---

articles/hdinsight/hdinsight-hadoop-hive-out-of-memory-error-oom.md

@@ -5,7 +5,7 @@ keywords: out of memory error, OOM, Hive settings
 ms.service: hdinsight
 ms.topic: troubleshooting
 ms.custom: hdinsightactive
-ms.date: 11/28/2019
+ms.date: 05/11/2022
 ---
 
 # Fix an Apache Hive out of memory error in Azure HDInsight
@@ -117,4 +117,4 @@ With the new settings, the query successfully ran in under 10 minutes.
 
 ## Next steps
 
-Getting an OOM error doesn't necessarily mean the container size is too small. Instead, you should configure the memory settings so that the heap size is increased and is at least 80% of the container memory size. For optimizing Hive queries, see [Optimize Apache Hive queries for Apache Hadoop in HDInsight](hdinsight-hadoop-optimize-hive-query.md).
+Getting an OOM error doesn't necessarily mean the container size is too small. Instead, you should configure the memory settings so that the heap size is increased and is at least 80% of the container memory size. For optimizing Hive queries, see [Optimize Apache Hive queries for Apache Hadoop in HDInsight](hdinsight-hadoop-optimize-hive-query.md).