With new developments like Copilot in Microsoft Cost Management and Microsoft Fabric, there couldn’t be a better time to take a fresh look at how you manage cost within your organization and how you can leverage the FinOps Framework and the FinOps Open Cost and Usage Specification (FOCUS) to accelerate your FinOps efforts.
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Azure Blob Storage is optimized for storing massive amounts of unstructured data. With blob access tiers, you can store your data in the most cost-effective way, based on how frequently it will be accessed and how long it will be retained.
A year ago we announced the general availability of advanced threat protection for Azure Storage, to help our customers better protect their data in blob containers from the growing risk of cyberattacks.
Announcing the preview of Query Acceleration for Azure Data Lake Storage—a new capability of Azure Data Lake Storage, which improves both performance and cost.
To help users be more productive and deliberate in their actions while emailing, the web version of Outlook and the Outlook for iOS and Android app have introduced suggested replies, a new feature powered by Azure Machine Learning service.
We're announcing the general availability of Python, .NET, Java, and JS filesystem SDKs for Azure Data Lake Storage (ADLS) Gen2 in all Azure regions.
Since the general availability of Azure Data Lake Storage (ADLS) Gen2 in February 2019, customers have been getting insights at cloud scale faster than ever before.
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.