Improved Acrolinx Score

Improved Acrolinx Score

Author: sreekzz

articles/hdinsight/hadoop/hdinsight-use-hive.md

@@ -4,7 +4,7 @@ description: Apache Hive is a data warehouse system for Apache Hadoop. You can q
 ms.service: hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive,hdiseo17may2017
-ms.date: 03/31/2022
+ms.date: 12/09/2022
 ---
 
 # What is Apache Hive and HiveQL on Azure HDInsight?
@@ -28,11 +28,11 @@ Use the following table to discover the different ways to use Hive with HDInsigh
 
 | **Use this method** if you want... | ...**interactive** queries | ...**batch** processing | ...from this **client operating system** |
 |:--- |:---:|:---:|:--- |:--- |
-| [HDInsight tools for Visual Studio Code](../hdinsight-for-vscode.md) |✔ |✔ | Linux, Unix, Mac OS X, or Windows |
+| [HDInsight tools for Visual Studio Code](../hdinsight-for-vscode.md) |✔ |✔ | Linux, Unix, MacOS X, or Windows |
 | [HDInsight tools for Visual Studio](../hadoop/apache-hadoop-use-hive-visual-studio.md) |✔ |✔ |Windows |
 | [Hive View](../hadoop/apache-hadoop-use-hive-ambari-view.md) |✔ |✔ |Any (browser based) |
-| [Beeline client](../hadoop/apache-hadoop-use-hive-beeline.md) |✔ |✔ |Linux, Unix, Mac OS X, or Windows |
-| [REST API](../hadoop/apache-hadoop-use-hive-curl.md) |  |✔ |Linux, Unix, Mac OS X, or Windows |
+| [Beeline client](../hadoop/apache-hadoop-use-hive-beeline.md) |✔ |✔ |Linux, Unix, MacOS X, or Windows |
+| [REST API](../hadoop/apache-hadoop-use-hive-curl.md) |  |✔ |Linux, Unix, MacOS X, or Windows |
 | [Windows PowerShell](../hadoop/apache-hadoop-use-hive-powershell.md) |  |✔ |Windows |
 
 ## HiveQL language reference
@@ -66,7 +66,7 @@ There are two types of tables that you can create with Hive:
 
 * __Internal__: Data is stored in the Hive data warehouse. The data warehouse is located at `/hive/warehouse/` on the default storage for the cluster.
 
-    Use internal tables when one of the following conditions apply:
+    Use internal tables when one of the following conditions applies:
 
     * Data is temporary.
     * You want Hive to manage the lifecycle of the table and data.