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Merge branch 'azure-hdinsight-articles' of https://github.com/paulth1/azure-docs-pr into azure-hdinsight-articles
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articles/hdinsight/hdinsight-administer-use-portal-linux.md

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On the [cluster home page](#homePage):
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1. On the top menu, select **Move** .
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1. On the top menu, select **Move**.
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1. Select **Move to another resource group** or **Move to another subscription**.
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1. Follow the instructions on the new page.
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articles/hdinsight/hdinsight-hadoop-provision-linux-clusters.md

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An HDInsight metastore that's created for one HDInsight cluster version can't be shared across different HDInsight cluster versions. For a list of HDInsight versions, see [Supported HDInsight versions](hdinsight-component-versioning.md#supported-hdinsight-versions).
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You can use managed identities to authenticate with SQL database for Hive. For more information, see [Use managed identity for SQL Database authentication in HDInsight](./use-managed-identity-for-sql-database-authentication-in-azure-hdinsight.md)
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You can use managed identities to authenticate with SQL database for Hive. For more information, see [Use managed identity for SQL Database authentication in HDInsight](./use-managed-identity-for-sql-database-authentication-in-azure-hdinsight.md).
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The default metastore provides a SQL database with a *basic tier 5 DTU limit (not upgradeable)*. It's suitable for basic testing purposes. For large or production workloads, we recommend that you migrate to an external metastore.
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| HBase |Head server (2), Region server (1+), Master/ZooKeeper node (3) |:::image type="content" source="./media/hdinsight-hadoop-provision-linux-clusters/hdinsight-hbase-cluster-type-setup.png" alt-text="HDInsight HBase cluster type setup." border="false"::: |
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| Spark |Head node (2), Worker node (1+), ZooKeeper node (3) (free for A1 ZooKeeper VM size) |:::image type="content" source="./media/hdinsight-hadoop-provision-linux-clusters/hdinsight-spark-cluster-type-setup.png" alt-text="HDInsight spark cluster type setup." border="false"::: |
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For more information, see [Default node configuration and VM sizes for clusters](hdinsight-supported-node-configuration.md) in "What are the Hadoop components and versions in HDInsight?"
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For more information, see [Default node configuration and VM sizes for clusters](hdinsight-supported-node-configuration.md).
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The cost of HDInsight clusters determined by the number of nodes and the VM sizes for the nodes.
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articles/hdinsight/hdinsight-sales-insights-etl.md

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## Prerequisites
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* Azure CLI, at least version 2.2.0. See [Install the Azure CLI](/cli/azure/install-azure-cli).
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* jq, a command-line JSON processor. See [https://stedolan.github.io/jq/](https://stedolan.github.io/jq/).
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* jq, a command-line JSON processor. See the [jq website](https://jqlang.org/).
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* A member of the [Azure built-in role: Owner](../role-based-access-control/built-in-roles.md).
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* If you use PowerShell to trigger the Azure Data Factory pipeline, you need the [Az PowerShell module](/powershell/azure/).
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* [Power BI Desktop](https://aka.ms/pbiSingleInstaller) to visualize business insights at the end of this tutorial.

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