Azure Data Lake Storage

Multi-protocol access for Azure Data Lake Storage is now generally available.

Announcing the preview of Geo Zone Redundant Storage in Azure. Geo Zone Redundant Storage provides a great balance of high performance, high availability, and disaster recovery and is beneficial when building highly available applications or services in Azure.

Cloud data lakes solve a foundational problem for big data analytics—providing secure, scalable storage for data that traditionally lives in separate data silos. Data lakes were designed from the start to break down data barriers and jump start big data analytics efforts.

Collaborating on data across organizations and integrating it into business decision making is foundational to digital transformation initiatives in organizations. To enable rich data collaboration, a new capability is needed to make sharing data of any size and shape, simple and governed.

News and updates from Azure premium files, Azure Blockchain, Azure Machine Learning, and more.

Most modern-day businesses employ analytics pipelines for real-time and batch processing. A common characteristic of these pipelines is that data arrives at irregular intervals from diverse sources.

There is a lot more data in the world than can possibly be captured with even the most robust, cutting-edge technology. Edge computing and the Internet of Things (IoT) are just two examples of technologies increasing the volume of useful data.

Elasticity means services can expand and contract on demand. This means Microsoft Azure customers who are on a pay-as-you-go plan will reap the most benefit out of Azure services.

Learn the latest integration in Azure Data Factory with Azure Data Lake Storage Gen2 and Azure Data Explorer which enables you to meet the advanced needs of your analytics workloads by leveraging these services.

On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2.