Merge pull request #290991 from sreekzz/nov-hdi-freshness

AnnaMHuff · web-flow · commit a781de3ca872 · 2024-11-25T09:01:24.000-07:00
Nov HDI Freshness Updates
diff --git a/articles/hdinsight/ambari-web-ui-auto-logout.md b/articles/hdinsight/ambari-web-ui-auto-logout.md
@@ -4,7 +4,7 @@ description: Disable able auto logout from Ambari Web UI.
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive,seoapr2022
-ms.date: 11/21/2023
+ms.date: 11/25/2024
 ---
 
 # Disable auto logout from Ambari Web UI
diff --git a/articles/hdinsight/configure-azure-blob-storage.md b/articles/hdinsight/configure-azure-blob-storage.md
@@ -3,7 +3,7 @@ title: Configure Azure Blob Storage on Azure HDInsight
 description: Learn how to Configure Azure Blob storage on Azure HDInsight.
 ms.service: azure-hdinsight
 ms.topic: how-to
-ms.date: 11/25/2023
+ms.date: 11/25/2024
 
 ---
 # Configure Azure Blob Storage as primary storage account in Azure HDInsight
diff --git a/articles/hdinsight/hadoop/apache-hadoop-linux-create-cluster-get-started-portal.md b/articles/hdinsight/hadoop/apache-hadoop-linux-create-cluster-get-started-portal.md
@@ -5,7 +5,7 @@ keywords: hadoop getting started,hadoop linux,hadoop quickstart,hive getting sta
 ms.service: azure-hdinsight
 ms.topic: quickstart
 ms.custom: hdinsightactive, mvc, mode-ui, linux-related-content
-ms.date: 11/29/2023
+ms.date: 11/25/2024
 #Customer intent: As a data analyst, I need to create a Hadoop cluster in Azure HDInsight using Azure portal and run a Hive job
 ---
 
diff --git a/articles/hdinsight/hadoop/apache-hadoop-mahout-linux-mac.md b/articles/hdinsight/hadoop/apache-hadoop-mahout-linux-mac.md
@@ -4,7 +4,7 @@ description: Learn how to use the Apache Mahout machine learning library to gene
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive, linux-related-content
-ms.date: 11/21/2023
+ms.date: 11/25/2024
 ---
 
 # Generate recommendations using Apache Mahout in Azure HDInsight
diff --git a/articles/hdinsight/hdinsight-hadoop-create-linux-clusters-azure-cli.md b/articles/hdinsight/hdinsight-hadoop-create-linux-clusters-azure-cli.md
@@ -4,7 +4,7 @@ description: Learn how to create Azure HDInsight clusters using the cross-platfo
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive, devx-track-azurecli, linux-related-content
-ms.date: 11/21/2023
+ms.date: 11/25/2024
 ---
 
 # Create HDInsight clusters using the Azure CLI
@@ -126,6 +126,7 @@ The steps in this document walk-through creating a HDInsight 4.0 cluster using t
 
 After you complete the article, you may want to delete the cluster. With HDInsight, your data is stored in Azure Storage, so you can safely delete a cluster when it isn't in use. You're also charged for an HDInsight cluster, even when it's not in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they aren't in use.
 
+
 Enter all or some of the following commands to remove resources:
 
 ```azurecli-interactive
@@ -157,6 +158,7 @@ If you run into issues with creating HDInsight clusters, see [access control req
 
 Now that you've successfully created an HDInsight cluster using the Azure CLI, use the following to learn how to work with your cluster:
 
+
 ### Apache Hadoop clusters
 
 * [Use Apache Hive with HDInsight](hadoop/hdinsight-use-hive.md)
diff --git a/articles/hdinsight/hdinsight-hadoop-create-linux-clusters-portal.md b/articles/hdinsight/hdinsight-hadoop-create-linux-clusters-portal.md
@@ -4,7 +4,7 @@ description: Learn to create Apache Hadoop, Apache HBase, and Apache Spark clust
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive, linux-related-content
-ms.date: 11/21/2023
+ms.date: 11/25/2024
 ---
 
 # Create Linux-based clusters in HDInsight by using the Azure portal
@@ -51,7 +51,7 @@ From the **Basics** tab, provide the following information:
 |Cluster login password|Provide the password.|
 |Confirm cluster login password|Reenter the password|
 |Secure Shell (SSH) username|Provide the username, default is **sshuser**|
-|Use cluster login password for SSH|If you want the same SSH password as the admin password you specified earlier, select the **Use cluster login password for SSH** check box. If not, provide either a **PASSWORD** or **PUBLIC KEY** to authenticate the SSH user. A public key is the approach we recommend. Choose **Select** at the bottom to save the credentials configuration.  For more information, see [Connect to HDInsight (Apache Hadoop) by using SSH](hdinsight-hadoop-linux-use-ssh-unix.md).|
+|Use cluster login password for SSH|If you want the same SSH password as the admin password you specified earlier, select the **`Use cluster login password for SSH`** check box. If not, provide either a **PASSWORD** or **PUBLIC KEY** to authenticate the SSH user. A public key is the approach we recommend. Choose **Select** at the bottom to save the credentials configuration.  For more information, see [Connect to HDInsight (Apache Hadoop) by using SSH](hdinsight-hadoop-linux-use-ssh-unix.md).|
 
 Select **Next: Storage >>** to advance to the next tab.
 
@@ -157,6 +157,7 @@ Some of the icons in the window are explained as follows:
 
 See [Delete an HDInsight cluster using your browser, PowerShell, or the Azure CLI](./hdinsight-delete-cluster.md).
 
+
 ## Troubleshoot
 
 If you run into issues with creating HDInsight clusters, see [access control requirements](./hdinsight-hadoop-customize-cluster-linux.md#access-control).
@@ -165,6 +166,7 @@ If you run into issues with creating HDInsight clusters, see [access control req
 
 You've successfully created an HDInsight cluster. Now learn how to work with your cluster.
 
+
 * [Use Apache Hive with HDInsight](hadoop/hdinsight-use-hive.md)
 * [Get started with Apache HBase on HDInsight](hbase/apache-hbase-tutorial-get-started-linux.md)
 * [Customize Linux-based HDInsight clusters by using script actions](hdinsight-hadoop-customize-cluster-linux.md)
diff --git a/articles/hdinsight/hdinsight-service-tags.md b/articles/hdinsight/hdinsight-service-tags.md
@@ -6,7 +6,7 @@ ms.topic: conceptual
 ms.custom: hdinsightactive
 ms.author: sairamyeturi
 author: yeturis
-ms.date: 11/23/2023
+ms.date: 11/25/2024
 ---
 
 # NSG service tags for Azure HDInsight
diff --git a/articles/hdinsight/kafka/apache-kafka-quickstart-powershell.md b/articles/hdinsight/kafka/apache-kafka-quickstart-powershell.md
@@ -4,7 +4,7 @@ description: In this quickstart, you learn how to create an Apache Kafka cluster
 ms.service: azure-hdinsight
 ms.custom: mvc, devx-track-azurepowershell, mode-api
 ms.topic: quickstart
-ms.date: 11/28/2023
+ms.date: 11/25/2024
 #Customer intent: I need to create a Kafka cluster so that I can use it to process streaming data
 ---
 
@@ -245,7 +245,7 @@ Kafka stores streams of data in *topics*. You can use the `kafka-topics.sh` util
         
         For information on the number of fault domains in a region, see the [Availability of Linux virtual machines](/azure/virtual-machines/availability) document.
 
-        Kafka is not aware of Azure fault domains. When creating partition replicas for topics, it may not distribute replicas properly for high availability.
+        Kafka is not aware of Azure fault domains. When you create partition replicas for topics, it may not distribute replicas properly for high availability.
 
         To ensure high availability, use the [Apache Kafka partition rebalance tool](https://github.com/hdinsight/hdinsight-kafka-tools). This tool must be ran from an SSH connection to the head node of your Kafka cluster.
 
diff --git a/articles/hdinsight/kafka/secure-spark-kafka-streaming-integration-scenario.md b/articles/hdinsight/kafka/secure-spark-kafka-streaming-integration-scenario.md
@@ -5,7 +5,7 @@ ms.service: azure-hdinsight
 ms.topic: how-to
 ms.author: piyushgupta
 author: piyush-gupta1999
-ms.date: 11/23/2023
+ms.date: 11/25/2024
 ---
 
 # Secure Spark and Kafka – Spark streaming integration scenario
diff --git a/articles/hdinsight/spark/apache-spark-create-cluster-cli.md b/articles/hdinsight/spark/apache-spark-create-cluster-cli.md
@@ -3,7 +3,7 @@ title: 'Quickstart: Apache Spark clusters with Azure CLI - Azure HDInsight'
 description: This quickstart shows how to use Azure CLI to create an Apache Spark cluster in Azure HDInsight.
 ms.service: azure-hdinsight
 ms.topic: quickstart
-ms.date: 11/23/2023
+ms.date: 11/25/2024
 ms.custom: devx-track-azurecli, mode-api
 #Customer intent: As a developer new to Apache Spark on Azure, I need to see how to create a Spark cluster.
 ---
diff --git a/articles/hdinsight/spark/apache-spark-jupyter-spark-sql-use-portal.md b/articles/hdinsight/spark/apache-spark-jupyter-spark-sql-use-portal.md
@@ -4,7 +4,7 @@ description: This quickstart shows how to use the Azure portal to create an Apac
 ms.service: azure-hdinsight
 ms.topic: quickstart
 ms.custom: mvc, mode-ui
-ms.date: 11/29/2023
+ms.date: 11/25/2024
 #Customer intent: As a developer new to Apache Spark on Azure, I need to see how to create a Spark cluster and query some data.
 ---
 
@@ -27,6 +27,7 @@ An Azure account with an active subscription. [Create an account for free](https
 
 You use the Azure portal to create an HDInsight cluster that uses Azure Storage Blobs as the cluster storage. For more information on using Data Lake Storage Gen2, see [Quickstart: Set up clusters in HDInsight](../hdinsight-hadoop-provision-linux-clusters.md).
 
+
 1. Sign in to the [Azure portal](https://portal.azure.com/).
 
 1. From the top menu, select **+ Create a resource**.
@@ -123,15 +124,18 @@ SQL (Structured Query Language) is the most common and widely used language for
 
 HDInsight saves your data in Azure Storage or Azure Data Lake Storage, so you can safely delete a cluster when it isn't in use. You're also charged for an HDInsight cluster, even when it isn't in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they aren't in use. If you plan to work on the tutorial listed in [Next steps](#next-steps) immediately, you might want to keep the cluster.
 
+
 Switch back to the Azure portal, and select **Delete**.
 
 :::image type="content" source="./media/apache-spark-jupyter-spark-sql-use-portal/hdinsight-azure-portal-delete-cluster.png " alt-text="Azure portal delete an HDInsight cluster." border="true":::sight cluster" border="true":::
 
+
 You can also select the resource group name to open the resource group page, and then select **Delete resource group**. By deleting the resource group, you delete both the HDInsight cluster, and the default storage account.
 
 ## Next steps
 
 In this quickstart, you learned how to create an Apache Spark cluster in HDInsight and run a basic Spark SQL query. Advance to the next tutorial to learn how to use an HDInsight cluster to run interactive queries on sample data.
 
+
 > [!div class="nextstepaction"]
 > [Run interactive queries on Apache Spark](./apache-spark-load-data-run-query.md)
diff --git a/articles/hdinsight/spark/apache-spark-jupyter-spark-sql-use-powershell.md b/articles/hdinsight/spark/apache-spark-jupyter-spark-sql-use-powershell.md
@@ -3,7 +3,7 @@ title: 'Quickstart: Create Apache Spark cluster on Azure HDInsight with Azure Po
 description: This quickstart shows how to use Azure PowerShell to create an Apache Spark cluster in Azure HDInsight, and run Spark SQL query.
 ms.service: azure-hdinsight
 ms.topic: quickstart
-ms.date: 11/28/2023
+ms.date: 11/25/2024
 ms.custom: mvc, devx-track-azurepowershell, mode-api
 #Customer intent: As a developer new to Apache Spark on Azure, I need to see how to create a spark cluster and query some data.
 ---
@@ -24,7 +24,7 @@ If you're using multiple clusters together, you can create a virtual network, an
 ## Create an Apache Spark cluster in HDInsight
 
 > [!IMPORTANT]  
-> Billing for HDInsight clusters is prorated per minute, whether you are using them or not. Be sure to delete your cluster after you have finished using it. For more information, see the [Clean up resources](#clean-up-resources) section of this article.
+> Billing for HDInsight clusters is prorated per minute, whether you're using them or not. Be sure to delete your cluster after you have finished using it. For more information, see the [Clean up resources](#clean-up-resources) section of this article.
 
 Creating an HDInsight cluster includes creating the following Azure objects and resources:
 
@@ -36,7 +36,7 @@ You use a PowerShell script to create the resources.
 
 [!INCLUDE [updated-for-az](~/reusable-content/ce-skilling/azure/includes/updated-for-az.md)]
 
-When you run the PowerShell script, you are prompted to enter the following values:
+When you run the PowerShell script, you're prompted to enter the following values:
 
 |Parameter|Value|
 |------|------|
@@ -188,7 +188,7 @@ SQL (Structured Query Language) is the most common and widely used language for
 
 ## Clean up resources
 
-HDInsight saves your data in Azure Storage or Azure Data Lake Storage, so you can safely delete a cluster when it is not in use. You are also charged for an HDInsight cluster, even when it is not in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they are not in use. If you plan to work on the tutorial listed in [Next steps](#next-steps) immediately, you might want to keep the cluster.
+HDInsight saves your data in Azure Storage or Azure Data Lake Storage, so you can safely delete a cluster when it isn't in use. You're also charged for an HDInsight cluster, even when it isn't in use. Since the charges for the cluster are many times more than the charges for storage, it makes economic sense to delete clusters when they aren't in use. If you plan to work on the tutorial listed in [Next steps](#next-steps) immediately, you might want to keep the cluster.
 
 Switch back to the Azure portal, and select **Delete**.
 
diff --git a/articles/hdinsight/spark/apache-spark-manage-dependencies.md b/articles/hdinsight/spark/apache-spark-manage-dependencies.md
@@ -6,7 +6,7 @@ ms.author: apsinhar
 ms.service: azure-hdinsight
 ms.custom: hdinsightactive, devx-track-python
 ms.topic: how-to
-ms.date: 11/28/2023
+ms.date: 11/25/2024
 #Customer intent: As a developer for Apache Spark and Apache Spark in Azure HDInsight, I want to learn how to manage my Spark application dependencies and install packages on my HDInsight cluster.
 ---
 
@@ -57,14 +57,14 @@ Use comma-separated list of jar paths for multiple jar files, Globs are allowed.
 %%configure { "conf": {"spark.jars": "wasb://mycontainer@mystorageaccount.blob.core.windows.net/libs/azure-cosmosdb-spark_2.3.0_2.11-1.3.3.jar" }}
 ```
 
-After configuring external packages, you can run import in code cell to verify if the packages has been placed correctly.
+After configuring external packages, you can run import in code cell to verify if the packages have been placed correctly.
 
 ```scala
 import com.microsoft.azure.cosmosdb.spark._
 ```
 
 ### Use Azure Toolkit for IntelliJ
-[Azure Toolkit for IntelliJ plug-in](./apache-spark-intellij-tool-plugin.md) provides UI experience to submit Spark Scala application to an HDInsight cluster. It provides `Referenced Jars` and `Referenced Files` properties to configure jar libs paths when submitting the Spark application. See more details about [How to use Azure Toolkit for IntelliJ plug-in for HDInsight](./apache-spark-intellij-tool-plugin.md#run-a-spark-scala-application-on-an-hdinsight-spark-cluster).
+[Azure Toolkit for IntelliJ plug-in](./apache-spark-intellij-tool-plugin.md) provides UI experience to submit Spark Scala application to HDInsight cluster. It provides `Referenced Jars` and `Referenced Files` properties to configure jar libs paths when submitting the Spark application. See more details about [How to use Azure Toolkit for IntelliJ plug-in for HDInsight](./apache-spark-intellij-tool-plugin.md#run-a-spark-scala-application-on-an-hdinsight-spark-cluster).
 
 :::image type="content" source="./media/apache-spark-intellij-tool-plugin/hdi-submit-spark-app-02.png" alt-text="The Spark Submission dialog box." border="true":::
 
diff --git a/articles/hdinsight/spark/apache-spark-troubleshoot-job-fails-noclassdeffounderror.md b/articles/hdinsight/spark/apache-spark-troubleshoot-job-fails-noclassdeffounderror.md
@@ -3,7 +3,7 @@ title: NoClassDefFoundError - Apache Spark with Apache Kafka data in Azure HDIns
 description: Apache Spark streaming job that reads data from an Apache Kafka cluster fails with a NoClassDefFoundError in Azure HDInsight
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
-ms.date: 11/23/2023
+ms.date: 11/25/2024
 ---
 
 # Apache Spark streaming job that reads Apache Kafka data fails with NoClassDefFoundError in HDInsight
