restored the false positives

Author: Sreekanth Iyer (Ushta Te Consultancy Services)

articles/hdinsight/hbase/apache-hbase-migrate-new-version-new-storage-account.md

@@ -1,5 +1,5 @@
 ---
-title: Migrate a HBase cluster to a new version and Storage account - Azure HDInsight
+title: Migrate an HBase cluster to a new version and Storage account - Azure HDInsight
 description: Learn how to migrate an Apache HBase cluster in Azure HDInsight to a newer version with a different Azure Storage account.
 ms.service: azure-hdinsight
 ms.topic: how-to

articles/hdinsight/hbase/apache-hbase-phoenix-performance.md

@@ -13,13 +13,13 @@ The most important aspect of [Apache Phoenix](https://phoenix.apache.org/) perfo
 
 ## Table schema design
 
-When you create a table in Phoenix, that table is stored in a HBase table. The HBase table contains groups of columns (column families) that are accessed together. A row in the Phoenix table is a row in the HBase table, where each row consists of versioned cells associated with one or more columns. Logically, a single HBase row is a collection of key-value pairs, each having the same rowkey value. That is, each key-value pair has a rowkey attribute, and the value of that rowkey attribute is the same for a particular row.
+When you create a table in Phoenix, that table is stored in an HBase table. The HBase table contains groups of columns (column families) that are accessed together. A row in the Phoenix table is a row in the HBase table, where each row consists of versioned cells associated with one or more columns. Logically, a single HBase row is a collection of key-value pairs, each having the same rowkey value. That is, each key-value pair has a rowkey attribute, and the value of that rowkey attribute is the same for a particular row.
 
 The schema design of a Phoenix table includes the primary key design, column family design, individual column design, and how the data is partitioned.
 
 ### Primary key design
 
-The primary key defined on a table in Phoenix determines how data is stored within the rowkey of the underlying HBase table. In HBase, the only way to access a particular row is with the rowkey. In addition, data stored in a HBase table is sorted by the rowkey. Phoenix builds the rowkey value by concatenating the values of each of the columns in the row, in the order they're defined in the primary key.
+The primary key defined on a table in Phoenix determines how data is stored within the rowkey of the underlying HBase table. In HBase, the only way to access a particular row is with the rowkey. In addition, data stored in an HBase table is sorted by the rowkey. Phoenix builds the rowkey value by concatenating the values of each of the columns in the row, in the order they're defined in the primary key.
 
 For example, a table for contacts has the first name, last name, phone number, and address, all in the same column family. You could define a primary key based on an increasing sequence number:
 
@@ -88,7 +88,7 @@ CREATE TABLE CONTACTS (...) SPLIT ON ('CS','EU','NA')
 
 ## Index design
 
-A Phoenix index is a HBase table that stores a copy of some or all of the data from the indexed table. An index improves performance for specific types of queries.
+A Phoenix index is an HBase table that stores a copy of some or all of the data from the indexed table. An index improves performance for specific types of queries.
 
 When you have multiple indexes defined and then query a table, Phoenix automatically selects the best index for the query. The primary index is created automatically based on the primary keys you select.
 

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

@@ -6,18 +6,18 @@ ms.service: azure-hdinsight
 ms.custom: hdinsightactive, mode-other
 ms.topic: quickstart
 ms.date: 01/02/2025
-#Customer intent: As a HBase user, I want learn HBase shell so that I can run queries.
+#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
 
-In this quickstart, you learn how to use Apache HBase Shell to create a HBase table, insert data, and then query the table.
+In this quickstart, you learn how to use Apache HBase Shell to create an HBase table, insert data, and then query the table.
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
 
 ## Prerequisites
 
-* An Apache HBase cluster. See [Create cluster](../hadoop/apache-hadoop-linux-tutorial-get-started.md) to create a HDInsight cluster.  Ensure you choose the **HBase** cluster type.
+* An Apache HBase cluster. See [Create cluster](../hadoop/apache-hadoop-linux-tutorial-get-started.md) to create an HDInsight cluster.  Ensure you choose the **HBase** cluster type.
 
 * An SSH client. For more information, see [Connect to HDInsight (Apache Hadoop) using SSH](../hdinsight-hadoop-linux-use-ssh-unix.md).
 
@@ -45,7 +45,7 @@ You can use SSH to connect to HBase clusters, and then use Apache HBase Shell to
     hbase shell
     ```
 
-3. Use `create` command to create a HBase table with two-column families. Enter the following command:
+3. Use `create` command to create an HBase table with two-column families. Enter the following command:
 
     ```hbase
     create 'Contacts', 'Personal', 'Office'
@@ -110,11 +110,11 @@ For more information about the HBase table schema, see [Introduction to Apache H
 
 After you complete the quickstart, 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 is not in use. You are also charged for a 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.
 
-To delete a cluster, see [Delete a HDInsight cluster using your browser, PowerShell, or the Azure CLI](../hdinsight-delete-cluster.md).
+To delete a cluster, see [Delete an HDInsight cluster using your browser, PowerShell, or the Azure CLI](../hdinsight-delete-cluster.md).
 
 ## Next steps
 
-In this quickstart, you learned how to use Apache HBase Shell to create a HBase table, insert data, and then query the table. To learn more about data stored in HBase, the next article will show you how to execute queries with Apache Spark.
+In this quickstart, you learned how to use Apache HBase Shell to create an HBase table, insert data, and then query the table. To learn more about data stored in HBase, the next article will show you how to execute queries with Apache Spark.
 
 > [!div class="nextstepaction"]
 > [Use Apache Spark to read and write Apache HBase data](../hdinsight-using-spark-query-hbase.md)

articles/hdinsight/hdinsight-create-non-interactive-authentication-dotnet-applications.md

@@ -19,7 +19,7 @@ From your non-interactive .NET application, you need:
 
 ## Prerequisites
 
-A HDInsight cluster. See the [getting started tutorial](hadoop/apache-hadoop-linux-tutorial-get-started.md).
+An HDInsight cluster. See the [getting started tutorial](hadoop/apache-hadoop-linux-tutorial-get-started.md).
 
 <a name='assign-a-role-to-the-azure-ad-application'></a>
 
@@ -36,7 +36,7 @@ Assign your Microsoft Entra application a [role](../role-based-access-control/bu
 1. At the top of the page, select **+ Add**.
 1. Follow the instructions to add the Owner role to your Microsoft Entra application. After you successfully add the role, the application is listed under the Owner role.
 
-## Develop a HDInsight client application
+## Develop an HDInsight client application
 
 1. Create a C# console application.
 2. Add the following [NuGet](https://www.nuget.org/) packages:

articles/hdinsight/hdinsight-hadoop-create-linux-clusters-azure-powershell.md

@@ -26,15 +26,15 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 [!INCLUDE [delete-cluster-warning](includes/hdinsight-delete-cluster-warning.md)]
 
-To create a HDInsight cluster by using Azure PowerShell, you must complete the following procedures:
+To create an HDInsight cluster by using Azure PowerShell, you must complete the following procedures:
 
 * Create an Azure resource group
 * Create an Azure Storage account
 * Create an Azure Blob container
-* Create a HDInsight cluster
+* Create an HDInsight cluster
 
 > [!NOTE]
-> Using PowerShell to create a HDInsight cluster with Azure Data Lake Storage Gen2 is not currently supported.
+> Using PowerShell to create an HDInsight cluster with Azure Data Lake Storage Gen2 is not currently supported.
 
 The following script demonstrates how to create a new cluster:
 
@@ -53,7 +53,7 @@ It can take up to 20 minutes to create a cluster.
 
 ## Create cluster: Configuration object
 
-You can also create a HDInsight configuration object using [`New-AzHDInsightClusterConfig`](/powershell/module/az.hdinsight/new-azhdinsightclusterconfig) cmdlet. You can then modify this configuration object to enable additional configuration options for your cluster. Finally, use the `-Config` parameter of the [`New-AzHDInsightCluster`](/powershell/module/az.hdinsight/new-azhdinsightcluster) cmdlet to use the configuration.
+You can also create an HDInsight configuration object using [`New-AzHDInsightClusterConfig`](/powershell/module/az.hdinsight/new-azhdinsightclusterconfig) cmdlet. You can then modify this configuration object to enable additional configuration options for your cluster. Finally, use the `-Config` parameter of the [`New-AzHDInsightCluster`](/powershell/module/az.hdinsight/new-azhdinsightcluster) cmdlet to use the configuration.
 
 ## Customize clusters
 
@@ -70,7 +70,7 @@ If you run into issues with creating HDInsight clusters, see [access control req
 
 ## Next steps
 
-Now that you've successfully created a HDInsight cluster, use the following resources to learn how to work with your cluster.
+Now that you've successfully created an HDInsight cluster, use the following resources to learn how to work with your cluster.
 
 ### Apache Hadoop clusters
 

articles/hdinsight/hdinsight-log-management.md

@@ -1,13 +1,13 @@
 ---
-title: Manage logs for a HDInsight cluster - Azure HDInsight 
+title: Manage logs for an HDInsight cluster - Azure HDInsight 
 description: Determine the types, sizes, and retention policies for HDInsight activity log files.
 ms.service: azure-hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive
 ms.date: 01/02/2025
 ---
 
-# Manage logs for a HDInsight cluster
+# Manage logs for an HDInsight cluster
 
  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.
 
@@ -157,7 +157,7 @@ Alternatively, you can script log archiving with PowerShell.
 ### Accessing Azure Storage metrics
 
 Azure Storage can be configured to log storage operations and access. You can use these detailed logs for capacity monitoring and planning, and for auditing requests to storage. The logged information includes latency details, enabling you to monitor and fine-tune the performance of your solutions.
-You can use the .NET SDK for Hadoop to examine the log files generated for the Azure Storage that holds the data for a HDInsight cluster.
+You can use the .NET SDK for Hadoop to examine the log files generated for the Azure Storage that holds the data for an HDInsight cluster.
 
 ### Control the size and number of backup indexes for old log files
 

articles/hdinsight/hdinsight-operationalize-data-pipeline.md

@@ -29,7 +29,7 @@ The following diagram illustrates the example pipeline.
 
 ## Apache Oozie solution overview
 
-This pipeline uses Apache Oozie running on a HDInsight Hadoop cluster.
+This pipeline uses Apache Oozie running on an HDInsight Hadoop cluster.
 
 Oozie describes its pipelines in terms of *actions*, *workflows*, and *coordinators*. Actions determine the actual work to perform, such as running a Hive query. Workflows define the sequence of actions. Coordinators define the schedule for when the workflow is run. Coordinators can also wait on the availability of new data before launching an instance of the workflow.
 
@@ -39,7 +39,7 @@ The following diagram shows the high-level design of this example Oozie pipeline
 
 ## Provision Azure resources
 
-This pipeline requires an Azure SQL Database and a HDInsight Hadoop cluster in the same location. The Azure SQL Database stores both the summary data produced by the pipeline and the Oozie Metadata Store.
+This pipeline requires an Azure SQL Database and an HDInsight Hadoop cluster in the same location. The Azure SQL Database stores both the summary data produced by the pipeline and the Oozie Metadata Store.
 
 ### Provision Azure SQL Database
 

articles/hdinsight/hdinsight-virtual-network-architecture.md

@@ -1,6 +1,6 @@
 ---
 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: 01/02/2025

articles/hdinsight/interactive-query/apache-hive-warehouse-connector.md

@@ -60,9 +60,9 @@ Hive Warehouse Connector needs separate clusters for Spark and Interactive Query
 
 ### Create clusters
 
-1. Create a HDInsight Spark **4.0** cluster with a storage account and a custom Azure virtual network. For information on creating a cluster in an Azure virtual network, see [Add HDInsight to an existing virtual network](../../hdinsight/hdinsight-plan-virtual-network-deployment.md#existingvnet).
+1. Create an HDInsight Spark **4.0** cluster with a storage account and a custom Azure virtual network. For information on creating a cluster in an Azure virtual network, see [Add HDInsight to an existing virtual network](../../hdinsight/hdinsight-plan-virtual-network-deployment.md#existingvnet).
 
-1. Create a HDInsight Interactive Query (LLAP) **4.0** cluster with the same storage account and Azure virtual network as the Spark cluster.
+1. Create an HDInsight Interactive Query (LLAP) **4.0** cluster with the same storage account and Azure virtual network as the Spark cluster.
 
 ### Configure HWC settings
 

articles/hdinsight/interactive-query/quickstart-resource-manager-template.md

@@ -31,7 +31,7 @@ The template used in this quickstart is from [Azure Quickstart Templates](https:
 Two Azure resources are defined in the template:
 
 * [Microsoft.Storage/storageAccounts](/azure/templates/microsoft.storage/storageaccounts): create an Azure Storage Account.
-* [Microsoft.HDInsight/cluster](/azure/templates/microsoft.hdinsight/clusters): create a HDInsight cluster.
+* [Microsoft.HDInsight/cluster](/azure/templates/microsoft.hdinsight/clusters): create an HDInsight cluster.
 
 ### Deploy the template
 
@@ -62,7 +62,7 @@ Once the cluster is created, you'll receive a **Deployment succeeded** notificat
 
 ## Clean up resources
 
-After you complete the quickstart, 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 a 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.
+After you complete the quickstart, 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 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.
 
 From the Azure portal, navigate to your cluster, and select **Delete**.