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learn-pr/wwl-azure/design-data-integration/includes/3-solution-azure-data-lake.md

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@@ -2,19 +2,25 @@ A data lake is a repository of data stored in its natural format, usually as blo
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> [!VIDEO https://learn-video.azurefd.net/vod/player?id=b4c743cb-38b8-4d39-a99a-3e7c39803836]
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> [!Note]
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> The current implementation of the service is Azure Data Lake Storage Gen2.
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> [!Important]
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> Azure Data Lake Storage Gen1 was retired on February 29, 2024. Existing Gen1 accounts are no longer accessible and new accounts cannot be created. This unit covers Azure Data Lake Storage Gen2 exclusively.
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### Things to know about Azure Data Lake Storage
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To better understand Azure Data Lake Storage, let's examine the following characteristics.
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- Azure Data Lake Storage can store any type of data by using the data's native format. With support for any data format and massive data sizes, Azure Data Lake Storage can work with structured, semi-structured, and unstructured data.
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- The solution is primarily designed to work with Hadoop and all frameworks that use the Apache Hadoop Distributed File System (HDFS) as their data access layer. Data analysis frameworks that use HDFS as their data access layer can directly access.
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- Azure Data Lake Storage supports high throughput for input and output–intensive analytics and data movement.
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- The Azure Data Lake Storage access control model supports both Azure role-based access control (RBAC) and Portable Operating System Interface for UNIX (POSIX) access control lists (ACLs).
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- Azure Data Lake Storage utilizes Azure Blob replication models. These models provide data redundancy in a single datacenter with locally redundant storage (LRS).
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- Azure Data Lake Storage utilizes Azure Blob replication models. These models support the same redundancy options available for Azure Blob Storage. Microsoft recommends ZRS for Azure Data Lake Storage workloads.
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- Azure Data Lake Storage offers massive storage and accepts numerous data types for analytics.
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- Azure Data Lake Storage is priced at Azure Blob Storage levels.
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#### How Azure Data Lake Storage works
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| **Geographic redundancy** | Must manually configure data replication | Provides geo-redundant storage by default |
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| **Namespaces** | Supports hierarchical namespaces | Supports flat namespaces |
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| **Hadoop compatibility** | Hadoop services can use data stored in Azure Data Lake | By using Azure Blob Filesystem Driver, applications and frameworks can access data in Azure Blob Storage |
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| **Security** | Supports granular access | Granular access isn't supported |
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| **Security** | Supports granular access | Granular access isn't supported |
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> [!Tip]
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> Learn more with self-paced training, [Introduction to Azure Data Lake Storage Gen2](/training/modules/introduction-to-azure-data-lake-storage/).

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