Data Lake Storage

Azure Data Lake Storage (ADLS) is the storage component of Azure Data Lake, a Microsoft-hosted service that provides storage and computing components to help capture and analyze various data types, such as unstructured data, often called Big Data.

Data Lake Storage

Azure Data Lake Storage (ADLS) is the storage component of Azure Data Lake, a Microsoft-hosted service that provides storage and computing components to help capture and analyze various data types, such as unstructured data, often called Big Data.

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The chart compares Microsoft’s on-premises and hosted database management offerings, their query languages, and the data types they support.

Microsoft's database management landscape includes on-premises and cloud solutions with proprietary and open-source products that are designed for all enterprise data types and workloads.

Azure Data Lake Analytics is retiring on Feb. 29, 2024, when Azure Data Lake Storage (ADLS) Gen 1 retires, which is no surprise as Analytics has a dependency on ADLS Gen 1.

Azure Data Lake Storage adds support for Append blobs, a storage option designed for applications that receive data streams, such as equipment logs.

Azure Data Lake Storage Gen 1 will retire in Feb. 2024, requiring a manual migration that will impact applications, processes, and security controls.

Roadmap for Azure Data Lake Storage (ADLS), a Microsoft cloud service that provides storage for various data types, such as unstructured data, often called Big Data.

Microsoft's database management landscape includes on-premises and hosted solutions for relational, nonrelational, and unstructured data.

Data Lake Storage Gen 2 introduces an Archive tier for rarely accessed data that could help reduce storage costs, but it should be used carefully as reading from Archive is expensive.

Azure Data Share helps organizations share data stored in Azure with other Azure customers and offers strong auditing and security features.