cats125

Author: dagiro

articles/hdinsight/hdinsight-hadoop-create-linux-clusters-portal.md

@@ -2,47 +2,48 @@
 title: Create Apache Hadoop clusters by using a web browser, Azure HDInsight 
 description: Learn how to create Apache Hadoop, Apache HBase, Apache Storm, or Apache Spark clusters on Linux for HDInsight by using a web browser and the Azure preview portal.
 author: hrasheed-msft
+ms.author: hrasheed
 ms.reviewer: jasonh
-
 ms.service: hdinsight
 ms.custom: hdinsightactive
 ms.topic: conceptual
 ms.date: 05/29/2019
-ms.author: hrasheed
-
 ---
+
 # Create Linux-based clusters in HDInsight by using the Azure portal
+
 [!INCLUDE [selector](../../includes/hdinsight-create-linux-cluster-selector.md)]
 
 The Azure portal is a web-based management tool for services and resources hosted in the Microsoft Azure cloud. In this article, you learn how to create Linux-based Azure HDInsight clusters by using the portal.
 
 ## Prerequisites
+
 [!INCLUDE [delete-cluster-warning](../../includes/hdinsight-delete-cluster-warning.md)]
 
 * **An Azure subscription**. See [How to get Azure Free trial for testing Hadoop in HDInsight](https://azure.microsoft.com/documentation/videos/get-azure-free-trial-for-testing-hadoop-in-hdinsight/).
 * **A modern web browser**. The Azure portal uses HTML5 and JavaScript. It might not function correctly in older web browsers.
 
 ## Create clusters
+
 The Azure portal exposes most of the cluster properties. By using Azure Resource Manager templates, you can hide many details. For more information, see [Create Apache Hadoop clusters in HDInsight by using Resource Manager templates](hdinsight-hadoop-create-linux-clusters-arm-templates.md).
 
 [!INCLUDE [secure-transfer-enabled-storage-account](../../includes/hdinsight-secure-transfer.md)]
 
-
 1. Sign in to the [Azure portal](https://portal.azure.com).
 
 1. From the left menu, select **+ Create a resource**.
 
-1.  Under **Azure Marketplace**, select **Analytics**.
+1. Under **Azure Marketplace**, select **Analytics**.
+
+1. Under **Featured**, select **HDInsight**.
 
-1.  Under **Featured**, select **HDInsight**.
-   
     ![Create a new cluster in the Azure portal](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster.png "Creating a new cluster in the Azure portal")
 
 1. On the **HDInsight** page, select **Custom (size, settings, apps)**.
 
 1. Select **1 Basics**. Then enter the following information.
 
-	![Configure basic settings](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-basics.png "Creating a new cluster in the Azure portal")
+	![HDInsight create cluster basics](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-basics.png "Creating a new cluster in the Azure portal")
 
 	* Enter the **Cluster Name**. This name must be globally unique.
 
@@ -71,10 +72,9 @@ The Azure portal exposes most of the cluster properties. By using Azure Resource
 
     Select **Next** to move to the next page.
 
-
 5. From **3 Storage**, specify whether you want Azure Storage or Azure Data Lake Storage as your default storage. For more information, see the following table.
 
-	 ![Set storage settings](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-storage.png "Creating a new cluster in the Azure portal")
+	 ![HDInsight create cluster storage](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-storage.png "Creating a new cluster in the Azure portal")
 
 	 | Storage                                      | Description |
 	 |----------------------------------------------|-------------|
@@ -87,21 +87,19 @@ The Azure portal exposes most of the cluster properties. By using Azure Resource
 
 	 Select **Next** to move to the next page.
 
-
 6. From **4 Applications (optional)**, select any applications that you want. Microsoft, independent software vendors (ISVs), or you can develop these applications. For more information, see [Install applications during cluster creation](hdinsight-apps-install-applications.md#install-applications-during-cluster-creation).
 
     Select **Next** to move to the next page.
 
-
 6. **5 Cluster size** displays information about the nodes that are used for this cluster. Set the number of worker nodes that you need for the cluster. The estimated cost of running the cluster is also shown.
-   
-    ![Specify node pricing tiers](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-nodes.png "Specify number of cluster nodes")
-   
+
+    ![HDInsight create cluster nodes](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-nodes.png "Specify number of cluster nodes")
+
    > [!IMPORTANT]  
-   > If you plan on more than 32 worker nodes, select a head node size with at least eight cores and 14 GB RAM. Plan the nodes either at cluster creation or by scaling the cluster after creation. 
-   > 
+   > If you plan on more than 32 worker nodes, select a head node size with at least eight cores and 14 GB RAM. Plan the nodes either at cluster creation or by scaling the cluster after creation.
+   >
    > For more information on node sizes and associated costs, see [Azure HDInsight pricing](https://azure.microsoft.com/pricing/details/hdinsight/).
-   
+
     Select **Next** to move to the next page.
 
 8. From **6 Script actions**, you can customize a cluster to install custom components. This option works if you want to use a custom script to customize a cluster, as the cluster is being created. For more information about script actions, see [Customize Linux-based HDInsight clusters by using script actions](hdinsight-hadoop-customize-cluster-linux.md).
@@ -110,53 +108,58 @@ The Azure portal exposes most of the cluster properties. By using Azure Resource
 
 9. From **7 Summary**, verify the information you entered earlier. Then select **Create**.
 
-	 ![Confirm configurations](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-summary.png "Specify number of cluster nodes")
+	 ![HDInsight create cluster summary](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-summary.png "Specify number of cluster nodes")
 
     > [!NOTE]  
     > It takes some time for the cluster to be created, usually around 20 minutes. Monitor **Notifications** to check on the provisioning process.
 
 10. After the creation process finishes, select **Go to Resource** from the **Deployment succeeded** notification. The cluster window provides the following information.
-    
-    ![Cluster interface](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-completed.png "Cluster properties")
-    
+
+    ![HDI Azure portal cluster overview](./media/hdinsight-hadoop-create-linux-clusters-portal/hdinsight-create-cluster-completed.png "Cluster properties")
+
     The icons in the window are explained as follows:
-    
+
     * The **Overview** tab provides all the essential information about the cluster. Examples are the name, the resource group it belongs to, the location, the operating system, and the URL for the cluster dashboard.
     * **Dashboard** directs you to the Ambari portal associated with the cluster.
     * **Secure Shell** provides information needed to access the cluster by using SSH.
     * By using **Scale cluster**, you can increase the number of worker nodes associated with the cluster.
 	* **Delete** deletes the HDInsight cluster.
-    
 
 ## Customize clusters
 * [Customize HDInsight clusters by using Bootstrap](hdinsight-hadoop-customize-cluster-bootstrap.md)
 * [Customize Linux-based HDInsight clusters by using script actions](hdinsight-hadoop-customize-cluster-linux.md)
 
 ## Delete the cluster
+
 [!INCLUDE [delete-cluster-warning](../../includes/hdinsight-delete-cluster-warning.md)]
 
 ## Troubleshoot
 
 If you run into issues with creating HDInsight clusters, see [access control requirements](hdinsight-hadoop-create-linux-clusters-portal.md).
 
 ## Next steps
+
 You've successfully created an HDInsight cluster. Now learn how to work with your cluster.
 
 ### Apache Hadoop clusters
+
 * [Use Apache Hive with HDInsight](hadoop/hdinsight-use-hive.md)
 * [Use Apache Pig with HDInsight](hadoop/hdinsight-use-pig.md)
 * [Use MapReduce with HDInsight](hadoop/hdinsight-use-mapreduce.md)
 
 ### Apache HBase clusters
+
 * [Get started with Apache HBase on HDInsight](hbase/apache-hbase-tutorial-get-started-linux.md)
 * [Develop Java applications for Apache HBase on HDInsight](hbase/apache-hbase-build-java-maven-linux.md)
 
 ### Apache Storm clusters
+
 * [Develop Java topologies for Apache Storm on HDInsight](storm/apache-storm-develop-java-topology.md)
 * [Use Python components in Apache Storm on HDInsight](storm/apache-storm-develop-python-topology.md)
 * [Deploy and monitor topologies with Apache Storm on HDInsight](storm/apache-storm-deploy-monitor-topology-linux.md)
 
 ### Apache Spark clusters
+
 * [Create a standalone application by using Scala](spark/apache-spark-create-standalone-application.md)
 * [Run jobs remotely on an Apache Spark cluster by using Apache Livy](spark/apache-spark-livy-rest-interface.md)
 * [Apache Spark with BI: Perform interactive data analysis by using Spark in HDInsight with BI tools](spark/apache-spark-use-bi-tools.md)