Merge pull request #88812 from dagiro/cats108

cats108

Author: PRMerger17

articles/hdinsight/hadoop/hdinsight-tools-for-intellij-with-hortonworks-sandbox.md

@@ -10,8 +10,8 @@ ms.custom: hdinsightactive
 ms.topic: conceptual
 ms.date: 05/16/2018
 ms.author: hrasheed
-
 ---
+
 # Use HDInsight Tools for IntelliJ with Hortonworks Sandbox
 
 Learn how to use HDInsight Tools for IntelliJ to develop Apache Scala applications, and then test the applications on [Hortonworks Sandbox](https://hortonworks.com/products/sandbox/) running on your computer. 
@@ -51,7 +51,7 @@ In this section, you create a sample Scala project by using IntelliJ IDEA. In th
       * **Maven**: For Scala project-creation wizard support.
       * **SBT**: For managing dependencies and building for the Scala project.
 
-   ![The New Project dialog box](./media/hdinsight-tools-for-intellij-with-hortonworks-sandbox/intellij-create-scala-project.png)
+   ![Intellij create new scala project](./media/hdinsight-tools-for-intellij-with-hortonworks-sandbox/intellij-create-scala-project.png)
 
 2. Select **Next**.
 3. In the next **New Project** dialog box, complete the following steps:

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

@@ -9,6 +9,7 @@ ms.custom: hdinsightactive
 ms.topic: conceptual
 ms.date: 03/20/2019
 ---
+
 # Use MapReduce in Apache Hadoop on HDInsight
 
 Learn how to run MapReduce jobs on HDInsight clusters.

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

@@ -68,7 +68,7 @@ The cluster, SQL database, and other objects are created through the Azure porta
 
 1. Select the following image to open the Resource Manager template in the Azure portal.
 
-    <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2F101-hdinsight-linux-with-sql-database%2Fazuredeploy.json" target="_blank"><img src="./media/hdinsight-use-sqoop/hdi-deploy-to-azure1.png" alt="Deploy to Azure"></a>
+    <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2F101-hdinsight-linux-with-sql-database%2Fazuredeploy.json" target="_blank"><img src="./media/hdinsight-use-sqoop/hdi-deploy-to-azure1.png" alt="Deploy to Azure button for new cluster"></a>
 
 2. Enter the following properties:
 

articles/hdinsight/hadoop/using-json-in-hive.md

@@ -86,7 +86,7 @@ The **SELECT** statement only returns one row.
 
 Here is the output of the **SELECT** statement:
 
-![Flattening the JSON document](./media/using-json-in-hive/hdinsight-flatten-json.png)
+![HDInsight flattening the JSON document](./media/using-json-in-hive/hdinsight-flatten-json.png)
 
 ## Analyze JSON documents in Hive
 Hive provides three different mechanisms to run queries on JSON documents, or you can write your own:
@@ -110,7 +110,7 @@ FROM StudentsOneLine;
 
 Here is the output when you run this query in the console window:
 
-![get_json_object UDF](./media/using-json-in-hive/hdinsight-get-json-object.png)
+![Apache Hive get json object UDF](./media/using-json-in-hive/hdinsight-get-json-object.png)
 
 There are limitations of the get_json_object UDF:
 
@@ -131,7 +131,7 @@ LATERAL VIEW JSON_TUPLE(jt.json_body, 'StudentId', 'Grade') q1
 
 The output of this script in the Hive console:
 
-![json_tuple UDF](./media/using-json-in-hive/hdinsight-json-tuple.png)
+![Apache Hive json query results](./media/using-json-in-hive/hdinsight-json-tuple.png)
 
 The json_tuple UDF uses the [lateral view](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LateralView) syntax in Hive, which enables json\_tuple to create a virtual table by applying the UDT function to each row of the original table. Complex JSONs become too unwieldy because of the repeated use of **LATERAL VIEW**. Furthermore, **JSON_TUPLE** cannot handle nested JSONs.