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Copy file name to clipboardExpand all lines: articles/hdinsight/hadoop/apache-hadoop-linux-create-cluster-get-started-portal.md
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3. Select **Delete resource group** to delete the resource group, which contains the cluster and the default storage account. Note deleting the resource group deletes the storage account. If you want to keep the storage account, choose to delete the cluster only.
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## Next steps
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In this tutorial, you learned how to create a Linux-based HDInsight cluster using a Resource Manager template, and how to perform basic Hive queries. In the next article, you learn how to perform an extract, transform, and load (ETL) operation using Hadoop on HDInsight.
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> [!div class="nextstepaction"]
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>[Extract, transform, and load data using Apache Hive on HDInsight](../hdinsight-analyze-flight-delay-data-linux.md)
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If you're ready to start working with your own data and need to know more about how HDInsight stores data or how to get data into HDInsight, see the following articles:
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* For information on how HDInsight uses Azure Storage, see [Use Azure Storage with HDInsight](../hdinsight-hadoop-use-blob-storage.md).
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* For information on how to create an HDInsight cluster with Data Lake Storage, see [Quickstart: Set up clusters in HDInsight](../../storage/data-lake-storage/quickstart-create-connect-hdi-cluster.md)
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* For information on how to upload data to HDInsight, see [Upload data to HDInsight](../hdinsight-upload-data.md).
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*[Use Azure Data Lake Storage Gen2 with Azure HDInsight clusters](../hdinsight-hadoop-use-data-lake-storage-gen2.md)
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To learn more about analyzing data with HDInsight, see the following articles:
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* To learn more about using Hive with HDInsight, including how to perform Hive queries from Visual Studio, see [Use Apache Hive with HDInsight](hdinsight-use-hive.md).
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* To learn about Pig, a language used to transform data, see [Use Apache Pig with HDInsight](hdinsight-use-pig.md).
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* To learn about MapReduce, a way to write programs that process data on Hadoop, see [Use MapReduce with HDInsight](hdinsight-use-mapreduce.md).
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* To learn about using the HDInsight Tools for Visual Studio to analyze data on HDInsight, see [Get started using Visual Studio Hadoop tools for HDInsight](apache-hadoop-visual-studio-tools-get-started.md).
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If you'd like to learn more about creating or managing an HDInsight cluster, see the following articles:
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* To learn about managing your Linux-based HDInsight cluster, see [Manage HDInsight clusters using Apache Ambari](../hdinsight-hadoop-manage-ambari.md).
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* To learn more about the options you can select when creating an HDInsight cluster, see [Creating HDInsight on Linux using custom options](../hdinsight-hadoop-provision-linux-clusters.md).
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In this quickstart, you learned how to create an Apache Hadoop cluster in HDInsight using a Resource Manager template. In the next article, you learn how to perform an extract, transform, and load (ETL) operation using Hadoop on HDInsight.
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> [!div class="nextstepaction"]
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>[Extract, transform, and load data using Apache Hive on HDInsight](../hdinsight-analyze-flight-delay-data-linux.md)
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If you're ready to start working with your own data and need to know more about how HDInsight stores data or how to get data into HDInsight, see the following articles:
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* For information on how HDInsight uses Azure Storage, see [Use Azure Storage with HDInsight](../hdinsight-hadoop-use-blob-storage.md).
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* For information on how to create an HDInsight cluster with Data Lake Storage, see [Quickstart: Set up clusters in HDInsight](../../storage/data-lake-storage/quickstart-create-connect-hdi-cluster.md)
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* For information on how to upload data to HDInsight, see [Upload data to HDInsight](../hdinsight-upload-data.md).
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*[Use Azure Data Lake Storage Gen2 with Azure HDInsight clusters](../hdinsight-hadoop-use-data-lake-storage-gen2.md)
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To learn more about analyzing data with HDInsight, see the following articles:
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* To learn more about using Hive with HDInsight, including how to perform Hive queries from Visual Studio, see [Use Apache Hive with HDInsight](hdinsight-use-hive.md).
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* To learn about Pig, a language used to transform data, see [Use Apache Pig with HDInsight](hdinsight-use-pig.md).
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* To learn about MapReduce, a way to write programs that process data on Hadoop, see [Use MapReduce with HDInsight](hdinsight-use-mapreduce.md).
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* To learn about using the HDInsight Tools for Visual Studio to analyze data on HDInsight, see [Get started using Visual Studio Hadoop tools for HDInsight](apache-hadoop-visual-studio-tools-get-started.md).
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* To learn about using the HDInsight Tools for VSCode to analyze data on HDInsight, see [Use Azure HDInsight Tools for Visual Studio Code](../hdinsight-for-vscode.md).
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If you'd like to learn more about creating or managing an HDInsight cluster, see the following articles:
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* To learn about managing your Linux-based HDInsight cluster, see [Manage HDInsight clusters using Apache Ambari](../hdinsight-hadoop-manage-ambari.md).
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* To learn more about the options you can select when creating an HDInsight cluster, see [Creating HDInsight on Linux using custom options](../hdinsight-hadoop-provision-linux-clusters.md).
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To learn more about creating HDInsight cluster using Azure Resource Manager templates, see:
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> [Connect to Azure HDInsight and run Apache Hive queries using Data Lake Tools for Visual Studio](../hadoop/apache-hadoop-visual-studio-tools-get-started.md)
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## See also
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* [Visualize Apache Hive data with Microsoft Power BI in Azure HDInsight](../hadoop/apache-hadoop-connect-hive-power-bi.md).
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* [Visualize Interactive Query Apache Hive data with Power BI in Azure HDInsight](./apache-hadoop-connect-hive-power-bi-directquery.md).
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* [Connect Excel to HDInsight with the Microsoft Hive ODBC Driver](../hadoop/apache-hadoop-connect-excel-hive-odbc-driver.md).
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* [Connect Excel to Apache Hadoop by using Power Query](../hadoop/apache-hadoop-connect-excel-power-query.md).
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* [Use Azure HDInsight Tool for Visual Studio Code](../hdinsight-for-vscode.md).
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* [Upload Data to HDInsight](../hdinsight-upload-data.md).
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