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articles/data-lake-store/data-lake-store-archive-eventhub-capture.md

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title: Capture data from Event Hubs into Azure Data Lake Storage Gen1 | Microsoft Docs
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description: Use Azure Data Lake Storage Gen1 to capture data from Event Hubs
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services: data-lake-store
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documentationcenter: ''
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author: twooley
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title: Capture data from Event Hubs to Azure Data Lake Storage Gen1
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description: Use Azure Data Lake Storage Gen1 to capture data that's received by Azure Event Hubs.
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author: twooley
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articles/data-lake-store/data-lake-store-comparison-with-blob-storage.md

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title: Azure Data Lake Storage Gen1 comparison with Azure Storage Blob | Microsoft Docs
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description: Azure Data Lake Storage Gen1 comparison with Azure Storage Blob
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services: data-lake-store
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title: Comparison of Azure Data Lake Storage Gen1 with Blob storage
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description: Provides a summary of the differences between Azure Data Lake Storage Gen1 and Azure Blob storage.
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ms.assetid: b199525b-84de-4f79-9eb6-69a613b8b217
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| Server-side API |[WebHDFS-compatible REST API](https://msdn.microsoft.com/library/azure/mt693424.aspx) |[Azure Blob Storage REST API](https://msdn.microsoft.com/library/azure/dd135733.aspx) |
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| Hadoop File System Client |Yes |Yes |
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| Data Operations - Authentication |Based on [Azure Active Directory Identities](../active-directory/develop/authentication-scenarios.md) |Based on shared secrets - [Account Access Keys](../storage/common/storage-account-keys-manage.md) and [Shared Access Signature Keys](../storage/common/storage-dotnet-shared-access-signature-part-1.md). |
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| Data Operations - Authentication Protocol |OAuth 2.0. Calls must contain a valid JWT (JSON Web Token) issued by Azure Active Directory |Hash-based Message Authentication Code (HMAC) . Calls must contain a Base64-encoded SHA-256 hash over a part of the HTTP request. |
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| Data Operations - Authentication Protocol |OAuth 2.0. Calls must contain a valid JWT (JSON Web Token) issued by Azure Active Directory |Hash-based Message Authentication Code (HMAC). Calls must contain a Base64-encoded SHA-256 hash over a part of the HTTP request. |
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| Data Operations - Authorization |POSIX Access Control Lists (ACLs). ACLs based on Azure Active Directory Identities can be set at the file and folder level. |For account-level authorization – Use [Account Access Keys](../storage/common/storage-account-keys-manage.md)<br>For account, container, or blob authorization - Use [Shared Access Signature Keys](../storage/common/storage-dotnet-shared-access-signature-part-1.md) |
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| Data Operations - Auditing |Available. See [here](data-lake-store-diagnostic-logs.md) for information. |Available |
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| Encryption data at rest |<ul><li>Transparent, Server side</li> <ul><li>With service-managed keys</li><li>With customer-managed keys in Azure KeyVault</li></ul></ul> |<ul><li>Transparent, Server side</li> <ul><li>With service-managed keys</li><li>With customer-managed keys in Azure KeyVault (preview)</li></ul><li>Client-side encryption</li></ul> |
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| Management operations (e.g. Account Create) |[Role-based access control](../role-based-access-control/overview.md) (RBAC) provided by Azure for account management |[Role-based access control](../role-based-access-control/overview.md) (RBAC) provided by Azure for account management |
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| Developer SDKs |.NET, Java, Python, Node.js |.Net, Java, Python, Node.js, C++, Ruby, PHP, Go, Android, iOS |
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| Management operations (for example, Account Create) |[Role-based access control](../role-based-access-control/overview.md) (RBAC) provided by Azure for account management |[Role-based access control](../role-based-access-control/overview.md) (RBAC) provided by Azure for account management |
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| Developer SDKs |.NET, Java, Python, Node.js |.NET, Java, Python, Node.js, C++, Ruby, PHP, Go, Android, iOS |
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| Analytics Workload Performance |Optimized performance for parallel analytics workloads. High Throughput and IOPS. |Optimized performance for parallel analytics workloads. |
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| Size limits |No limits on account sizes, file sizes or number of files |For specific limits, see [Scalability targets for standard storage accounts](../storage/common/scalability-targets-standard-account.md) and [Scalability and performance targets for Blob storage](../storage/blobs/scalability-targets.md). Larger account limits available by contacting [Azure Support](https://azure.microsoft.com/support/faq/) |
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| Geo-redundancy |Locally-redundant (multiple copies of data in one Azure region) |Locally redundant (LRS), zone redundant (ZRS), globally redundant (GRS), read-access globally redundant (RA-GRS). See [here](../storage/common/storage-redundancy.md) for more information |
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| Size limits |No limits on account sizes, file sizes, or number of files |For specific limits, see [Scalability targets for standard storage accounts](../storage/common/scalability-targets-standard-account.md) and [Scalability and performance targets for Blob storage](../storage/blobs/scalability-targets.md). Larger account limits available by contacting [Azure Support](https://azure.microsoft.com/support/faq/) |
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| Geo-redundancy |Locally redundant (multiple copies of data in one Azure region) |Locally redundant (LRS), zone redundant (ZRS), globally redundant (GRS), read-access globally redundant (RA-GRS). See [here](../storage/common/storage-redundancy.md) for more information |
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| Service state |Generally available |Generally available |
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| Regional availability |See [here](https://azure.microsoft.com/regions/#services) |Available in all Azure regions |
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| Price |See [Pricing](https://azure.microsoft.com/pricing/details/data-lake-store/) |See [Pricing](https://azure.microsoft.com/pricing/details/storage/) |

articles/data-lake-store/data-lake-store-data-operations-net-sdk.md

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title: '.NET SDK: Filesystem operations on Azure Data Lake Storage Gen1'
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title: .NET SDK - Filesystem operations on Data Lake Storage Gen1 - Azure
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description: Use the Azure Data Lake Storage Gen1 .NET SDK for filesystem operations on Data Lake Storage Gen1 such as create folders, etc.
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articles/data-lake-store/data-lake-store-end-user-authenticate-java-sdk.md

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title: 'End-user authentication: Java with Azure Data Lake Storage Gen1 using Azure Active Directory | Microsoft Docs'
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title: End-user authentication - Java with Data Lake Storage Gen1 - Azure
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description: Learn how to achieve end-user authentication with Azure Data Lake Storage Gen1 using Azure Active Directory with Java
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The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [slf4j](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like log4j, Java logging, logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
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The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [SLF4J](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like Log4j, Java logging, Logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
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3. Add the following import statements to your application.
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articles/data-lake-store/data-lake-store-end-user-authenticate-net-sdk.md

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title: 'End-user authentication: .NET SDK with Azure Data Lake Storage Gen1 using Azure Active Directory | Microsoft Docs'
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title: End-user authentication - .NET with Data Lake Storage Gen1 Azure
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description: Learn how to achieve end-user authentication with Azure Data Lake Storage Gen1 using Azure Active Directory with .NET SDK
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articles/data-lake-store/data-lake-store-end-user-authenticate-python.md

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title: 'End-user authentication: Python with Azure Data Lake Storage Gen1 using Azure Active Directory | Microsoft Docs'
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title: End-user authentication - Python with Data Lake Storage Gen1 - Azure
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description: Learn how to achieve end-user authentication with Azure Data Lake Storage Gen1 using Azure Active Directory with Python
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articles/data-lake-store/data-lake-store-end-user-authenticate-rest-api.md

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title: 'End-user authentication: REST API with Azure Data Lake Storage Gen1 using Azure Active Directory | Microsoft Docs'
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title: End-user authentication - REST with Data Lake Storage Gen1 - Azure
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description: Learn how to achieve end-user authentication with Azure Data Lake Storage Gen1 using Azure Active Directory using REST API
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articles/data-lake-store/data-lake-store-end-user-authenticate-using-active-directory.md

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title: 'End-user authentication: Azure Data Lake Storage Gen1 with Azure Active Directory | Microsoft Docs'
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title: End-user authentication - Data Lake Storage Gen1 with Azure AD
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articles/data-lake-store/data-lake-store-get-started-cli-2.0.md

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title: Use the Azure CLI to get started with Azure Data Lake Storage Gen1 | Microsoft Docs
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title: Manage Azure Data Lake Storage Gen1 account - Azure CLI
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description: Use the Azure CLI to create a Data Lake Storage Gen1 account and perform basic operations.
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# Get started with Azure Data Lake Store using Azure CLI
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# Get started with Azure Data Lake Storage Gen1 using the Azure CLI
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[!INCLUDE [data-lake-storage-gen1-rename-note.md](../../includes/data-lake-storage-gen1-rename-note.md)]
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articles/data-lake-store/data-lake-store-get-started-java-sdk.md

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title: 'Java SDK: Filesystem operations on Azure Data Lake Storage Gen1 | Microsoft Docs'
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title: Java SDK - Filesystem operations on Data Lake Storage Gen1 - Azure
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description: Use the Java SDK for Azure Data Lake Storage Gen1 to perform filesystem operations on Data Lake Storage Gen1 such as creating folders, and uploading and downloading data files.
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The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [slf4j](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like log4j, Java logging, logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
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The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [SLF4J](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like Log4j, Java logging, Logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
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3. Add the following import statements to your application.
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