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#Customer intent: As a data analyst, I need to create a Hadoop cluster in Azure HDInsight using Resource Manager template
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Currently HDInsight comes with [seven different cluster types](../hdinsight-overview.md#cluster-types-in-hdinsight). Each cluster type supports a different set of components. All cluster types support Hive. For a list of supported components in HDInsight, see [What's new in the Hadoop cluster versions provided by HDInsight?](../hdinsight-component-versioning.md)
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If you don't have an Azure subscription, [create a free account](https://azure.microsoft.com/free/) before you begin.
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If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
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<aname="create-cluster"></a>
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## Create a Hadoop cluster
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1. Select the **Deploy to Azure** button below to sign in to Azure and open the Resource Manager template in the Azure portal.
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<ahref="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2F101-hdinsight-linux-ssh-password%2Fazuredeploy.json"target="_blank"><imgsrc="./media/apache-hadoop-linux-tutorial-get-started/hdi-deploy-to-azure1.png"alt="Deploy to Azure button for new cluster"></a>
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2. Enter or select the following values:
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|Property |Description |
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|---------|---------|
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|**Subscription**| Select your Azure subscription. |
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|**Resource group**| Create a resource group or select an existing resource group. A resource group is a container of Azure components. In this case, the resource group contains the HDInsight cluster and the dependent Azure Storage account. |
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|**Location**| Select an Azure location where you want to create your cluster. Choose a location closer to you for better performance. |
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|**Cluster Name**| Enter a name for the Hadoop cluster. Because all clusters in HDInsight share the same DNS namespace this name needs to be unique. The name may only contain lowercase letters, numbers, and hyphens, and must begin with a letter. Each hyphen must be preceded and followed by a non-hyphen character. The name must also be between 3 and 59 characters long. |
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|**Cluster Type**| Select **hadoop**. |
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|**Cluster login name and password**| The default login name is **admin**. 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 ' " ` \). Make sure you **do not provide** common passwords such as "Pass@word1".|
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|**SSH username and password**| The default username is **sshuser**. You can rename the SSH username. The SSH user password has the same requirements as the cluster login password.|
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|Subscription| Select your Azure subscription. |
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|Resource group | Create a resource group or select an existing resource group. A resource group is a container of Azure components. In this case, the resource group contains the HDInsight cluster and the dependent Azure Storage account. |
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|Location | Select an Azure location where you want to create your cluster. Choose a location closer to you for better performance. |
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|Cluster Name | Enter a name for the Hadoop cluster. Because all clusters in HDInsight share the same DNS namespace this name needs to be unique. The name may only contain lowercase letters, numbers, and hyphens, and must begin with a letter. Each hyphen must be preceded and followed by a non-hyphen character. The name must also be between 3 and 59 characters long. |
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|Cluster Type | Select **hadoop**. |
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|Cluster login name and password | The default login name is **admin**. 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 ' " ` \). Make sure you **do not provide** common passwords such as "Pass@word1".|
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|SSH username and password| The default username is **sshuser**. You can rename the SSH username. The SSH user password has the same requirements as the cluster login password.|
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Some properties have been hardcoded in the template. You can configure these values from the template. For more explanation of these properties, see [Create Apache Hadoop clusters in HDInsight](../hdinsight-hadoop-provision-linux-clusters.md).
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3. Select **I agree to the terms and conditions stated above**, and then select **Purchase**. You will receive a notification that your deployment is in progress. It takes about 20 minutes to create a cluster.
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3. Select **I agree to the terms and conditions stated above**, then select **Purchase**. You'll receive a notification that your deployment is in progress. It takes about 20 minutes to create a cluster.
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4. Once the cluster is created, you will receive a **Deployment succeeded** notification with a **Go to resource group** link. Your **Resource group** page will list your new HDInsight cluster and the default storage associated with the cluster. Each cluster has an [Azure Storage account](../hdinsight-hadoop-use-blob-storage.md) or an [Azure Data Lake Storage account](../hdinsight-hadoop-use-data-lake-store.md) dependency. It is referred as the default storage account. The HDInsight cluster and its default storage account must be colocated in the same Azure region. Deleting clusters does not delete the storage account.
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4. Once the cluster is created, you'll receive a **Deployment succeeded** notification with a **Go to resource group** link. Your **Resource group** page will list your new HDInsight cluster and the default storage associated with the cluster. Each cluster has an [Azure Storage account](../hdinsight-hadoop-use-blob-storage.md) or an [Azure Data Lake Storage account](../hdinsight-hadoop-use-data-lake-store.md) dependency. It's referred as the default storage account. The HDInsight cluster and its default storage account must be colocated in the same Azure region. Deleting clusters doesn't delete the storage account.
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> [!NOTE]
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> For other cluster creation methods and understanding the properties used in this quickstart, see [Create HDInsight clusters](../hdinsight-hadoop-provision-linux-clusters.md).
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## Clean up resources
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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 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.
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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.
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> [!NOTE]
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> If you are *immediately* proceeding to the next tutorial to learn how to run ETL operations using Hadoop on HDInsight, you may want to keep the cluster running. This is because in the tutorial you have to create a Hadoop cluster again. However, if you are not going through the next tutorial right away, you must delete the cluster now.
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**To delete the cluster and/or the default storage account**
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To delete the cluster and/or the default storage account:
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1. Go back to the browser tab where you have the Azure portal. You shall be on the cluster overview page. If you only want to delete the cluster but retain the default storage account, select **Delete**.
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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 Interactive Query on HDInsight](../interactive-query/interactive-query-tutorial-analyze-flight-data.md)
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>[Extract, transform, and load data using Interactive Query on HDInsight](../interactive-query/interactive-query-tutorial-analyze-flight-data.md)
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