Merge pull request #219873 from sreekzz/patch-127

Removing ML contents

Author: prmerger-automator[bot]

articles/hdinsight/hadoop/apache-hadoop-on-premises-migration-motivation.md

@@ -4,7 +4,7 @@ description: Learn the motivation and benefits for migrating on-premises Hadoop
 ms.service: hdinsight
 ms.custom: ignite-2022
 ms.topic: how-to
-ms.date: 11/17/2022
+ms.date: 11/30/2022
 ---
 
 # Migrate on-premises Apache Hadoop clusters to Azure HDInsight - motivation and benefits
@@ -117,7 +117,6 @@ This section provides template questionnaires to help gather important informati
 |Spark batch jobs|50 jobs -- every 15 minutes||
 |Spark Streaming jobs|5 jobs -- every 3 minutes||
 |Structured Streaming jobs|5 jobs -- every minute||
-|ML Model training jobs|2 jobs -- once in a week||
 |Programming Languages|Python, Scala, Java||
 |Scripting|Shell, Python||
 |**Topic**: **Data**|||

articles/hdinsight/hdinsight-autoscale-clusters.md

@@ -4,7 +4,7 @@ description: Use the Autoscale feature to automatically scale Azure HDInsight cl
 ms.service: hdinsight
 ms.topic: how-to
 ms.custom: contperf-fy21q1, contperf-fy21q2
-ms.date: 11/17/2022
+ms.date: 11/30/2022
 ---
 
 # Automatically scale Azure HDInsight clusters
@@ -66,12 +66,12 @@ For scale-down, Autoscale issues a request to remove a certain number of nodes.
 
 The following table describes the cluster types and versions that are compatible with the Autoscale feature.
 
-| Version | Spark | Hive | Interactive Query | HBase | Kafka | ML |
-|---|---|---|---|---|---|---|---|
-| HDInsight 3.6 without ESP | Yes | Yes | Yes* | No | No | No |
-| HDInsight 4.0 without ESP | Yes | Yes | Yes* | No | No | No |
-| HDInsight 3.6 with ESP | Yes | Yes | Yes* | No | No | No |
-| HDInsight 4.0 with ESP | Yes | Yes | Yes* | No | No | No |
+| Version | Spark | Hive | Interactive Query | HBase | Kafka |
+|---|---|---|---|---|---|---|
+| HDInsight 3.6 without ESP | Yes | Yes | Yes* | No | No |
+| HDInsight 4.0 without ESP | Yes | Yes | Yes* | No | No |
+| HDInsight 3.6 with ESP | Yes | Yes | Yes* | No | No |
+| HDInsight 4.0 with ESP | Yes | Yes | Yes* | No | No |
 
 \* Interactive Query clusters can only be configured for schedule-based scaling, not load-based.
 

articles/hdinsight/hdinsight-version-release.md

@@ -3,7 +3,7 @@ title: HDInsight 4.0 overview - Azure
 description: Compare HDInsight 3.6 to HDInsight 4.0 features, limitations, and upgrade recommendations.
 ms.service: hdinsight
 ms.topic: conceptual
-ms.date: 10/25/2022
+ms.date: 11/30/2022
 ---
 
 # Azure HDInsight 4.0 overview
@@ -60,7 +60,6 @@ Spark executors can connect directly to Hive LLAP daemons to retrieve and update
 Apache Spark on HDInsight 4.0 supports the following scenarios:
 
 * Run machine learning model training over the same transactional table used for reporting.
-* Use ACID transactions to safely add columns from Spark ML to a Hive table.
 * Run a Spark streaming job on the change feed from a Hive streaming table.
 * Create ORC files directly from a Spark Structured Streaming job.