Merge pull request #292525 from sreekzz/Jan-Freshness

v-dirichards · web-flow · commit aec8e931d097 · 2025-01-06T10:17:52.000-06:00
Jan 2025 Freshness Index
diff --git a/articles/hdinsight/hadoop/hdinsight-use-mapreduce.md b/articles/hdinsight/hadoop/hdinsight-use-mapreduce.md
@@ -4,7 +4,7 @@ description: Learn how to run Apache MapReduce jobs on Apache Hadoop in HDInsigh
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Use MapReduce in Apache Hadoop on HDInsight
diff --git a/articles/hdinsight/hbase/apache-hbase-backup-replication.md b/articles/hdinsight/hbase/apache-hbase-backup-replication.md
@@ -4,7 +4,7 @@ description: Set up Backup and replication for Apache HBase and Apache Phoenix i
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Set up backup and replication for Apache HBase and Apache Phoenix on HDInsight
@@ -238,7 +238,7 @@ The general steps to set up replication are:
 5. Copy existing data from the source tables to the destination tables.
 6. Replication automatically copies new data modifications to the source tables into the destination tables.
 
-To enable replication on HDInsight, apply a Script Action to your running source HDInsight cluster. For a walkthrough of enabling replication in your cluster, or to experiment with replication on sample clusters created in virtual networks using Azure Resource Manager templates, see [Configure Apache HBase replication](apache-hbase-replication.md). That article also includes instructions for enabling replication of Phoenix metadata.
+To enable replication on HDInsight, apply a Script Action to the running source HDInsight cluster. For a walkthrough of enabling replication in your cluster, or to experiment with replication on sample clusters created in virtual networks using Azure Resource Manager templates, see [Configure Apache HBase replication](apache-hbase-replication.md). That article also includes instructions for enabling replication of Phoenix metadata.
 
 ## Next steps
 
diff --git a/articles/hdinsight/hbase/apache-hbase-migrate-new-version-new-storage-account.md b/articles/hdinsight/hbase/apache-hbase-migrate-new-version-new-storage-account.md
@@ -4,7 +4,7 @@ description: Learn how to migrate an Apache HBase cluster in Azure HDInsight to
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/10/2024
+ms.date: 01/02/2025
 ---
 
 # Migrate Apache HBase to a new version and storage account
diff --git a/articles/hdinsight/hbase/apache-hbase-phoenix-performance.md b/articles/hdinsight/hbase/apache-hbase-phoenix-performance.md
@@ -4,7 +4,7 @@ description: Best practices to optimize Apache Phoenix performance for Azure HDI
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Apache Phoenix performance best practices
@@ -64,7 +64,7 @@ Also, if certain columns tend to be accessed together, put those columns in the
 
 ### Column design
 
-* Keep VARCHAR columns under about 1 MB because of the I/O costs of large columns. When processing queries, HBase materializes cells in full before sending them over to the client, and the client receives them in full before handing them off to the application code.
+* Keep VARCHAR columns under about 1 MB because of the I/O costs of large columns. When you process queries, HBase materializes cells in full before sending them over to the client, and the client receives them in full before handing them off to the application code.
 * Store column values using a compact format such as protobuf, Avro, msgpack, or BSON. JSON isn't recommended, as it's larger.
 * Consider compressing data before storage to cut latency and I/O costs.
 
@@ -105,7 +105,7 @@ Secondary indexes can improve read performance by turning what would be a full t
 
 ### Use covered indexes
 
-Covered indexes are indexes that include data from the row in addition to the values that are indexed. After finding the desired index entry, there's no need to access the primary table.
+Covered indexes are indexes that include data from the row in addition to the values that are indexed. After you find the desired index entry, there's no need to access the primary table.
 
 For example, in the example contact table you could create a secondary index on just the socialSecurityNum column. This secondary index would speed up queries that filter by socialSecurityNum values, but retrieving other field values require another read against the main table.
 
diff --git a/articles/hdinsight/hbase/hbase-troubleshoot-pegged-cpu-region-server.md b/articles/hdinsight/hbase/hbase-troubleshoot-pegged-cpu-region-server.md
@@ -3,7 +3,7 @@ title: Pegged CPU in Apache HBase cluster - Azure HDInsight
 description: Troubleshoot pegged CPU on region server in Apache HBase cluster in Azure HDInsight
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Scenario: Pegged CPU on region server in Apache HBase cluster in Azure HDInsight
diff --git a/articles/hdinsight/hbase/hbase-troubleshoot-storage-exception-reset.md b/articles/hdinsight/hbase/hbase-troubleshoot-storage-exception-reset.md
@@ -3,7 +3,7 @@ title: Storage exception after connection reset in Azure HDInsight
 description: Storage exception after connection reset in Azure HDInsight
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Scenario: Storage exception after connection reset in Azure HDInsight
diff --git a/articles/hdinsight/hbase/query-hbase-with-hbase-shell.md b/articles/hdinsight/hbase/query-hbase-with-hbase-shell.md
@@ -5,8 +5,8 @@ keywords: hdinsight,hadoop,HBase
 ms.service: azure-hdinsight
 ms.custom: hdinsightactive, mode-other
 ms.topic: quickstart
-ms.date: 01/04/2024
-#Customer intent: As a HBase user, I want learn HBase shell so that I can run queries.
+ms.date: 01/02/2025
+#Customer intent: As an HBase user, I want learn HBase shell so that I can run queries.
 ---
 
 # Quickstart: Query Apache HBase in Azure HDInsight with HBase Shell
diff --git a/articles/hdinsight/hbase/troubleshoot-rest-api.md b/articles/hdinsight/hbase/troubleshoot-rest-api.md
@@ -3,7 +3,7 @@ title: REST API to query Apache HBase in Azure HDInsight
 description: This article describes troubleshooting steps when interacting with Apache HBase components on Azure HDInsight clusters.
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # REST API to query Apache HBase in Azure HDInsight
diff --git a/articles/hdinsight/hdinsight-apps-install-custom-applications.md b/articles/hdinsight/hdinsight-apps-install-custom-applications.md
@@ -4,22 +4,22 @@ description: Learn how to install HDInsight applications for Apache Hadoop clust
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Install custom Apache Hadoop applications on Azure HDInsight
 
 In this article, you'll learn how to install an [Apache Hadoop](https://hadoop.apache.org/) application on Azure HDInsight, which hasn't been published to the Azure portal. The application you'll install in this article is [Hue](https://gethue.com/).
 
-An HDInsight application is an application that users can install on an HDInsight cluster.  These applications can be developed by Microsoft, independent software vendors (ISV) or by yourself.  
+An HDInsight application is an application that users can install on a HDInsight cluster.  These applications can be developed by Microsoft, independent software vendors (ISV) or by yourself.  
 
 ## Prerequisites
 
-If you want to install HDInsight applications on an existing HDInsight cluster, you must have an HDInsight cluster. To create one, see [Create clusters](hadoop/apache-hadoop-linux-tutorial-get-started.md). You can also install HDInsight applications when you create an HDInsight cluster.
+If you want to install HDInsight applications on an existing HDInsight cluster, you must have an HDInsight cluster. To create one, see [Create clusters](hadoop/apache-hadoop-linux-tutorial-get-started.md). You can also install HDInsight applications when you create a HDInsight cluster.
 
 ## Install HDInsight applications
 
-HDInsight applications can be installed when you create a cluster or to an existing HDInsight cluster. For defining Azure Resource Manager templates, see [MSDN: Install an HDInsight application](/rest/api/hdinsight/hdinsight-application).
+HDInsight applications can be installed when you create a cluster or to an existing HDInsight cluster. For defining Azure Resource Manager templates, see [MSDN: Install a HDInsight application](/rest/api/hdinsight/hdinsight-application).
 
 The files needed for deploying this application (Hue):
 
@@ -101,13 +101,13 @@ If an application installation failed, you can see the error messages and debug
 
     Open the cluster from the portal, and select Applications from Settings:
 
-    :::image type="content" source="./media/hdinsight-apps-install-custom-applications/hdinsight-apps-error.png" alt-text="hdinsight applications application installation error.":::
+    :::image type="content" source="./media/hdinsight-apps-install-custom-applications/hdinsight-apps-error.png" alt-text=" Screenshot of HDInsight application installation error.":::
 
 * HDInsight script action: If the HDInsight Applications' error message indicates a script action failure, more details about the script failure will be presented in the script actions pane.
 
     Select Script Action from Settings. Script action history shows the error messages
 
-    :::image type="content" source="./media/hdinsight-apps-install-custom-applications/hdinsight-apps-script-action-error.png" alt-text="hdinsight applications script action error.":::
+    :::image type="content" source="./media/hdinsight-apps-install-custom-applications/hdinsight-apps-script-action-error.png" alt-text=" Screenshot of HDInsight applications script action error.":::
 
 * Apache Ambari Web UI: If the install script was the cause of the failure, use Ambari Web UI to check full logs about the install scripts.
 
diff --git a/articles/hdinsight/hdinsight-changing-configs-via-ambari.md b/articles/hdinsight/hdinsight-changing-configs-via-ambari.md
@@ -4,7 +4,7 @@ description: Use the Apache Ambari web UI to configure and optimize Azure HDInsi
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive, devx-track-extended-java
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Optimize clusters with Apache Ambari in Azure HDInsight
diff --git a/articles/hdinsight/hdinsight-create-non-interactive-authentication-dotnet-applications.md b/articles/hdinsight/hdinsight-create-non-interactive-authentication-dotnet-applications.md
@@ -4,7 +4,7 @@ description: Learn how to create non-interactive authentication Microsoft .NET a
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive, devx-track-csharp, devx-track-dotnet
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Create a non-interactive authentication .NET HDInsight application
diff --git a/articles/hdinsight/hdinsight-hadoop-create-linux-clusters-azure-powershell.md b/articles/hdinsight/hdinsight-hadoop-create-linux-clusters-azure-powershell.md
@@ -5,7 +5,7 @@ ms.service: azure-hdinsight
 ms.topic: how-to
 ms.tool: azure-powershell
 ms.custom: hdinsightactive, devx-track-azurepowershell, linux-related-content
-ms.date: 01/29/2024
+ms.date: 01/02/2025
 ---
 
 # Create Linux-based clusters in HDInsight using Azure PowerShell
@@ -38,11 +38,11 @@ To create an HDInsight cluster by using Azure PowerShell, you must complete the
 
 The following script demonstrates how to create a new cluster:
 
-[!code-powershell[main](../../azure_powershell_scripts/hdinsight/create-cluster/create-cluster.ps1?range=5-74)]
+[!Code-powershell[main](../../azure_powershell_scripts/hdinsight/create-cluster/create-cluster.ps1?range=5-74)]
 
 The values you specify for the cluster login are used to create the Hadoop user account for the cluster. Use this account to connect to services hosted on the cluster such as web UIs or REST APIs.
 
-The values you specify for the SSH user are used to create the SSH user for the cluster. Use this account to start a remote SSH session on the cluster and run jobs. For more information, see the [Use SSH with HDInsight](hdinsight-hadoop-linux-use-ssh-unix.md) document.
+The values you specify for the SSH user are used to create the SSH user for the cluster. Use this account to start a remote SSH session on the cluster and run jobs. For more information, see [Use SSH with HDInsight](hdinsight-hadoop-linux-use-ssh-unix.md).
 
 > [!IMPORTANT]  
 > If you plan to use more than 32 worker nodes (either at cluster creation or by scaling the cluster after creation), you must also specify a head node size with at least 8 cores and 14 GB of RAM.
diff --git a/articles/hdinsight/hdinsight-hadoop-templeton-webhcat-debug-errors.md b/articles/hdinsight/hdinsight-hadoop-templeton-webhcat-debug-errors.md
@@ -4,7 +4,7 @@ description: Learn how to about common errors returned by WebHCat on HDInsight a
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
 ms.custom: hdinsightactive
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Understand and resolve errors received from WebHCat on HDInsight
diff --git a/articles/hdinsight/hdinsight-log-management.md b/articles/hdinsight/hdinsight-log-management.md
@@ -4,12 +4,12 @@ description: Determine the types, sizes, and retention policies for HDInsight ac
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Manage logs for an HDInsight cluster
 
-An HDInsight cluster produces various log files. For example, Apache Hadoop and related services, such as Apache Spark, produce detailed job execution logs. Log file management is part of maintaining a healthy HDInsight cluster. There can also be regulatory requirements for log archiving.  Due to the number and size of log files, optimizing log storage and archiving helps with service cost management.
+ HDInsight cluster produces various log files. For example, Apache Hadoop and related services, such as Apache Spark, produce detailed job execution logs. Log file management is part of maintaining a healthy HDInsight cluster. There can also be regulatory requirements for log archiving.  Due to the number and size of log files, optimizing log storage and archiving helps with service cost management.
 
 Managing HDInsight cluster logs includes retaining information about all aspects of the cluster environment. This information includes all associated Azure Service logs, cluster configuration, job execution information, any error states, and other data as needed.
 
diff --git a/articles/hdinsight/hdinsight-operationalize-data-pipeline.md b/articles/hdinsight/hdinsight-operationalize-data-pipeline.md
@@ -4,7 +4,7 @@ description: Set up and run an example data pipeline that is triggered by new da
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
-ms.date: 01/10/2024
+ms.date: 01/02/2025
 ---
 
 # Operationalize a data analytics pipeline
@@ -159,7 +159,7 @@ The sample data is now available. However, the pipeline requires two Hive tables
 
 5. Select **Execute** to create the table.
 
-    :::image type="content" source="./media/hdinsight-operationalize-data-pipeline/hdi-ambari-services-hive-query.png" alt-text="hdi ambari services hive query.":::
+    :::image type="content" source="./media/hdinsight-operationalize-data-pipeline/hdi-ambari-services-hive-query.png" alt-text="Screenshot of HDInsight Ambari services hive query.":::
 
 6. To create the `flights` table, replace the text in the query text area with the following statements. The `flights` table is a Hive-managed table that partitions data loaded into it by year, month, and day of month. This table will contain all historical flight data, with the lowest granularity present in the source data of one row per flight.
 
diff --git a/articles/hdinsight/hdinsight-virtual-network-architecture.md b/articles/hdinsight/hdinsight-virtual-network-architecture.md
@@ -1,9 +1,9 @@
 ---
 title: Azure HDInsight virtual network architecture
-description: Learn the resources available when you create a HDInsight cluster in an Azure Virtual Network.
+description: Learn the resources available when you create an HDInsight cluster in an Azure Virtual Network.
 ms.service: azure-hdinsight
 ms.topic: conceptual
-ms.date: 01/09/2024
+ms.date: 01/02/2025
 ---
 
 # Azure HDInsight virtual network architecture
diff --git a/articles/hdinsight/interactive-query/apache-hive-warehouse-connector.md b/articles/hdinsight/interactive-query/apache-hive-warehouse-connector.md
@@ -5,7 +5,7 @@ author: reachnijel
 ms.author: nijelsf
 ms.service: azure-hdinsight
 ms.topic: how-to
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Integrate Apache Spark and Apache Hive with Hive Warehouse Connector in Azure HDInsight
@@ -120,7 +120,7 @@ Apart from the configurations mentioned in the previous section, add the followi
 
     * Use [ssh command](../hdinsight-hadoop-linux-use-ssh-unix.md) to connect to your Interactive Query cluster. Look for `default_realm` parameter in the `/etc/krb5.conf` file. Replace `<AAD-DOMAIN>` with this value as an uppercase string, otherwise the credential won't be found.
 
-        :::image type="content" source="./media/apache-hive-warehouse-connector/aad-domain.png" alt-text="hive warehouse connector AAD Domain." border="true":::
+        :::image type="content" source="./media/apache-hive-warehouse-connector/aad-domain.png" alt-text="Screenshot of Hive warehouse connector AAD Domain." border="true":::
 
     * For instance, `hive/hn*.mjry42ikpruuxgs2qy2kpg4q5e.cx.internal.cloudapp.net@PKRSRVUQVMAE6J85.D2.INTERNAL.CLOUDAPP.NET`.
     
diff --git a/articles/hdinsight/interactive-query/hive-warehouse-connector-v2-apis.md b/articles/hdinsight/interactive-query/hive-warehouse-connector-v2-apis.md
@@ -5,7 +5,7 @@ author: rishikeshmohanty
 ms.author: mohantyr
 ms.service: azure-hdinsight
 ms.topic: how-to
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Hive Warehouse Connector 2.0 APIs in Azure HDInsight
diff --git a/articles/hdinsight/interactive-query/interactive-query-troubleshoot-permission-error-create-table.md b/articles/hdinsight/interactive-query/interactive-query-troubleshoot-permission-error-create-table.md
@@ -3,7 +3,7 @@ title: Permission denied error with Apache Hive table in Azure HDInsight
 description: Permission denied error when trying to create an Apache Hive table in Azure HDInsight
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Scenario: Permission denied error when trying to create an Apache Hive table in Azure HDInsight
diff --git a/articles/hdinsight/interactive-query/quickstart-resource-manager-template.md b/articles/hdinsight/interactive-query/quickstart-resource-manager-template.md
@@ -4,7 +4,7 @@ description: This quickstart shows how to use Resource Manager template to creat
 ms.service: azure-hdinsight
 ms.topic: quickstart
 ms.custom: subject-armqs, mode-arm, devx-track-arm-template
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 #Customer intent: As a developer new to Interactive Query on Azure, I need to see how to create an Interactive Query cluster.
 ---
 
@@ -48,7 +48,7 @@ Two Azure resources are defined in the template:
     |Location|The value will autopopulate with the location used for the resource group.|
     |Cluster Name|Enter a globally unique name. For this template, use only lowercase letters, and numbers.|
     |Cluster Login User Name|Provide the username, default is `admin`.|
-    |Cluster Login Password|Provide a password. The password must be at least 10 characters in length and must contain at least one digit, one uppercase, and one lower case letter, one non-alphanumeric character (except characters ```' ` "``` ). |
+    |Cluster Login Password|Provide a password. The password must be at least 10 characters in length and must contain at least one digit, one uppercase, and one lower case letter, one nonalphanumeric character (except characters ```' ` "``` ). |
     |Ssh User Name|Provide the username, default is sshuser|
     |Ssh Password|Provide the password.|
 
diff --git a/articles/hdinsight/kafka/kafka-troubleshoot-insufficient-domains.md b/articles/hdinsight/kafka/kafka-troubleshoot-insufficient-domains.md
@@ -3,7 +3,7 @@ title: Not sufficient fault domains in region error in Azure HDInsight
 description: Cluster creation failed due to not sufficient fault domains in region in Azure HDInsight
 ms.service: azure-hdinsight
 ms.topic: troubleshooting
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Scenario: Cluster creation failed due to `not sufficient fault domains in region` in Azure HDInsight
@@ -24,7 +24,7 @@ In HDInsight, Kafka clusters are required to be provisioned in a region with at
 
 ## Resolution
 
-If the region you wish to create the cluster does not have sufficient fault domains, reach out to product team to allow provisioning of the cluster even if there are not three fault domains.
+If the region you wish to create the cluster doesn't have sufficient fault domains, reach out to product team to allow provisioning of the cluster even if there aren't three fault domains.
 
 ## Next steps
 
diff --git a/articles/hdinsight/service-endpoint-policies.md b/articles/hdinsight/service-endpoint-policies.md
@@ -4,7 +4,7 @@ description: Learn how to configure service endpoint policies for your virtual n
 ms.service: azure-hdinsight
 ms.custom: devx-track-azurepowershell, devx-track-azurecli
 ms.topic: how-to
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Configure virtual network service endpoint policies for Azure HDInsight
diff --git a/articles/hdinsight/spark/apache-spark-microsoft-cognitive-toolkit.md b/articles/hdinsight/spark/apache-spark-microsoft-cognitive-toolkit.md
@@ -4,7 +4,7 @@ description: Learn how a trained Microsoft Cognitive Toolkit deep learning model
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive, devx-track-python
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # Use Microsoft Cognitive Toolkit deep learning model with Azure HDInsight Spark cluster
diff --git a/articles/hdinsight/spark/optimize-cluster-configuration.md b/articles/hdinsight/spark/optimize-cluster-configuration.md
@@ -3,7 +3,7 @@ title: Optimize Apache Spark cluster configuration - Azure HDInsight
 description: Learn how to configure your Apache Spark cluster to maximize throughput on Azure HDInsight.
 ms.service: azure-hdinsight
 ms.topic: conceptual
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 # Cluster configuration optimization for Apache Spark
 
diff --git a/articles/hdinsight/spark/optimize-data-processing.md b/articles/hdinsight/spark/optimize-data-processing.md
@@ -3,7 +3,7 @@ title: Optimize data processing for Apache Spark - Azure HDInsight
 description: Learn how to choose the most efficient operations to process your data on Apache Spark with Azure HDInsight.
 ms.service: azure-hdinsight
 ms.topic: conceptual
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 # Data processing optimization for Apache Spark
 
diff --git a/articles/hdinsight/view-hindsight-cluster-image-version.md b/articles/hdinsight/view-hindsight-cluster-image-version.md
@@ -3,7 +3,7 @@ title: View the image version of Azure HDInsight cluster
 description: Learn how to view the image version of Azure HDInsight cluster
 ms.service: azure-hdinsight
 ms.topic: how-to
-ms.date: 01/04/2024
+ms.date: 01/02/2025
 ---
 
 # View the image version of Azure HDInsight cluster
