Data professionals

Enable backup of VMs with Managed Disks using Azure Backup

You can connect to Azure Analysis Services from Power BI, Excel and many other third party client tools.

We would like to announce that Azure SQL Database Threat Detection will be generally available in spring 2017 and share few customer experiences that demonstrate how Azure SQL Database Threat Detection provides an important layer of security built into the Azure SQL Database service.

Today, I am excited to announce the general availability of Managed Disks. With this PaaS-like support, you no longer need to be concerned with the complexity of storage management nor worry about storage as you scale.

Now instantly recover files from cloud recovery points using Azure backup

We are excited to announce the public preview release of the Custom Speech Service from Microsoft Cognitive Services. The Custom Speech Service (formerly the Custom Recognition Intelligent Service) lets you customize Microsoft’s speech-to-text engine.

We strive hard at Azure to offer our customers the best value in one of the most cost effective ways in the public cloud.

The Microsoft Educator Community website (education.microsoft.com) is a central hub for educators worldwide that allows educators everywhere to connect and collaborate, find training and lessons, and grow their professional careers with Microsoft products such as 0ffice 365.

Last October we released the preview of Azure Analysis Services, which is built on the proven analytics engine in Microsoft SQL Server Analysis Services.

The goal of Microsoft’s decentralized identity initiative is to give people and organizations control of their identity and related data. We’re building technology that lets users sign data, claims, or agreements with their identities.

We are excited to announce the availability of an in-browser query tool that provides you an efficient way to execute queries on your Azure SQL Databases and Azure SQL Data Warehouses without leaving the Azure Portal.

Going a step beyond the traditional ways of developing a data warehouse by adopting CI practices which are more prevalent for API (.NET) based applications.