
Azure Storage—A look back and a look forward
Microsoft has been at the forefront of groundbreaking AI solutions, empowering end customers, developers and IT Professionals in the cloud while accelerating enterprise migrations to Azure.
Microsoft has been at the forefront of groundbreaking AI solutions, empowering end customers, developers and IT Professionals in the cloud while accelerating enterprise migrations to Azure.
Databricks, a pioneer of the Data Lakehouse an integral component of their Data Intelligence Platform is available as a fully managed first party Data & AI solution on Microsoft Azure as Azure Databricks, making Azure the optimal cloud for running Databricks workloads.
We are announcing the preview of Azure Storage Actions, a fully managed platform that helps you automate data management tasks for Azure Blob Storage and Azure Data Lake Storage.
2023 was an emblematic year of growth for storage and data services with AI at the top of mind for many customers. Azure customers’ overall data estate continued to grow, powered by the emergence of new workloads and access patterns.
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
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.