Merge pull request #88827 from dagiro/cats110

cats110

Author: PRMerger14

articles/hdinsight/hbase/apache-hbase-tutorial-get-started-linux.md

@@ -36,7 +36,7 @@ The following procedure uses an Azure Resource Manager template to create an HBa
 
 1. Select the following image to open the template in the Azure portal. The template is located in [Azure quickstart templates](https://azure.microsoft.com/resources/templates/).
 
-    <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2F101-hdinsight-hbase-linux%2Fazuredeploy.json" target="_blank"><img src="./media/apache-hbase-tutorial-get-started-linux/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-hbase-linux%2Fazuredeploy.json" target="_blank"><img src="./media/apache-hbase-tutorial-get-started-linux/hdi-deploy-to-azure1.png" alt="Deploy to Azure button for new cluster"></a>
 
 2. From the **Custom deployment** blade, enter the following values:
 
@@ -63,11 +63,11 @@ You can use SSH to connect to HBase clusters and then use [Apache HBase Shell](h
 
 For most people, data appears in the tabular format:
 
-![HDInsight HBase tabular data](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-contacts-tabular.png)
+![HDInsight Apache HBase tabular data](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-contacts-tabular.png)
 
 In HBase (an implementation of [Cloud BigTable](https://cloud.google.com/bigtable/)), the same data looks like:
 
-![HDInsight HBase BigTable data](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-contacts-bigtable.png)
+![HDInsight Apache HBase BigTable data](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-contacts-bigtable.png)
 
 **To use the HBase shell**
 
@@ -110,7 +110,7 @@ In HBase (an implementation of [Cloud BigTable](https://cloud.google.com/bigtabl
     scan 'Contacts'
     ```
 
-    ![HDInsight Hadoop HBase shell](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-shell.png)
+    ![HDInsight Apache Hadoop HBase shell](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-shell.png)
 
 1. Use `get` command to fetch contents of a row. Enter the following command:
 
@@ -279,7 +279,7 @@ HBase in HDInsight ships with a Web UI for monitoring clusters. Using the Web UI
 
 1. Select **Quick links** on the top of the page, point to the active Zookeeper node link, and then select **HBase Master UI**.  The UI is opened in another browser tab:
 
-   ![HDInsight HBase HMaster UI](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-hmaster-ui.png)
+   ![HDInsight Apache HBase HMaster UI](./media/apache-hbase-tutorial-get-started-linux/hdinsight-hbase-hmaster-ui.png)
 
    The HBase Master UI contains the following sections:
 

articles/hdinsight/hbase/query-hbase-with-hbase-shell.md

@@ -29,11 +29,11 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 For most people, data appears in the tabular format:
 
-![HDInsight HBase tabular data](./media/query-hbase-with-hbase-shell/hdinsight-hbase-contacts-tabular.png)
+![HDInsight Apache HBase tabular data](./media/query-hbase-with-hbase-shell/hdinsight-hbase-contacts-tabular.png)
 
 In HBase (an implementation of [Cloud BigTable](https://cloud.google.com/bigtable/)), the same data looks like:
 
-![HDInsight HBase BigTable data](./media/query-hbase-with-hbase-shell/hdinsight-hbase-contacts-bigtable.png)
+![HDInsight Apache HBase BigTable data](./media/query-hbase-with-hbase-shell/hdinsight-hbase-contacts-bigtable.png)
 
 You can use SSH to connect to HBase clusters, and then use Apache HBase Shell to create HBase tables, insert data, and query data.
 

articles/hdinsight/hdinsight-administer-use-portal-linux.md

@@ -166,7 +166,7 @@ From the [cluster home page](#homePage):
 
 1. Select **Cluster dashboards**.
 
-    ![HDInsight Hadoop cluster menu](./media/hdinsight-administer-use-portal-linux/hdinsight-azure-portal-cluster-menu2.png)
+    ![HDInsight Apache Hadoop cluster menu](./media/hdinsight-administer-use-portal-linux/hdinsight-azure-portal-cluster-menu2.png)
 
 1. Select **Ambari home** from the new page.
 1. Enter the cluster username and password.  The default cluster username is _admin_.

articles/hdinsight/hdinsight-apache-kafka-spark-structured-streaming.md

@@ -122,7 +122,7 @@ To create an Azure Virtual Network, and then create the Kafka and Spark clusters
 
 1. Use the following button to sign in to Azure and open the template in the Azure portal.
 
-    <a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fhdinsight-spark-kafka-structured-streaming%2Fmaster%2Fazuredeploy.json" target="_blank"><img src="./media/hdinsight-apache-kafka-spark-structured-streaming/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-Samples%2Fhdinsight-spark-kafka-structured-streaming%2Fmaster%2Fazuredeploy.json" target="_blank"><img src="./media/hdinsight-apache-kafka-spark-structured-streaming/hdi-deploy-to-azure1.png" alt="Deploy to Azure button for new cluster"></a>
 
     The Azure Resource Manager template is located at **https://raw.githubusercontent.com/Azure-Samples/hdinsight-spark-kafka-structured-streaming/master/azuredeploy.json**.