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.
The chart compares Microsoft’s on-premises and hosted database offerings.
Sidebar explains the various data types and technologies used in Microsoft database management offerings.
Azure Data Lake Storage offers a new back-end option to improve performance and scalability and raises questions about the future of Azure Data Lake Analytics
Azure Data Lake Storage provides scalable, peta-byte level storage and high-speed ingestion for unstructured data
Azure provides several Hadoop-based (Big Data) data management services, each providing specialized features with varying costs and configurations
Roadmap for Azure Data Lake, a Microsoft cloud service for analyzing Big Data.
Azure Data Lake provides scalable Big Data storage and computing services with a SQL-based interface to help leverage SQL skills to incorporate analysis in applications
Illustration shows Azure Data Lake Store components and requirements
Azure Data Lake provides scalable data storage and analytics features, along with SQL-like programming tools to help capture and process Big Data