Azure Data Lake Storage, introduced in 2016, provides scalable and secure data lake capabilities optimized for big data analytics. It supports multiple programming languages and integrates with Apache Spark and Hadoop.

https://learn.microsoft.com/en-us/azure/data-lake-storage

Azure Data Lake Storage (ADLS) is a highly scalable and secure data lake solution for big data analytics built on Microsoft Azure. It combines the power of a high-performance file system with massive scale and economy to lower data storage costs. Introduced to support the storage needs of big data analytics and operational data scenarios, ADLS provides a hierarchical file system, allowing the storage of trillions of files in a single account. It is optimized for performance, management, and security, offering advanced features such as fine-tuned access control, end-to-end encryption, and integration with Azure Active Directory for authentication and authorization. ADLS is designed to integrate seamlessly with a wide range of analytics frameworks, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight, enabling businesses to build scalable and efficient data analytics solutions. By offering a no-limits data lake that can handle high volumes of data in various formats, Azure Data Lake Storage empowers organizations to unlock valuable insights from their data, driving innovation and improving decision-making processes.