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Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-hadoop-use-blob-storage.md
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ms.reviewer: jasonh
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ms.service: hdinsight
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ms.topic: conceptual
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ms.date: 11/01/2019
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ms.date: 02/28/2020
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---
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# Use Azure storage with Azure HDInsight clusters
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> [!NOTE]
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> The Archive access tier is an offline tier that has a several hour retrieval latency and isn't recommended for use with HDInsight. For more information, see [Archive access tier](../storage/blobs/storage-blob-storage-tiers.md#archive-access-tier).
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## Access files from the cluster
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## Access files from within cluster
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There are several ways you can access the files in Data Lake Storage from an HDInsight cluster. The URI scheme provides unencrypted access (with the *wasb:* prefix) and SSL encrypted access (with *wasbs*). We recommend using *wasbs* wherever possible, even when accessing data that lives inside the same region in Azure.
* To identify the complete path to the configured default store, navigate to:
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**HDFS** > **Configs** and enter `blob.core.windows.net` in the filter input box.
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To obtain the path using Ambari REST API, see [Get the default storage](./hdinsight-hadoop-manage-ambari-rest-api.md#get-the-default-storage).
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## Blob containers
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To use blobs, you first create an [Azure Storage account](../storage/common/storage-create-storage-account.md). As part of this, you specify an Azure region where the storage account is created. The cluster and the storage account must be hosted in the same region. The Hive metastore SQL Server database and Apache Oozie metastore SQL Server database must also be located in the same region.
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While creating an HDInsight cluster, you specify the Azure Storage account you want to associate with it. In addition to this storage account, you can add additional storage accounts from the same Azure subscription or different Azure subscriptions during the creation process or after a cluster has been created. For instructions about adding additional storage accounts, see [Create HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md).
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