Learning SQL opens up career opportunities because it’s used by the most common relational database management systems, including Oracle, Sybase, Microsoft SQL Server, Access, and Ingres.

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

Learn how to use the Azure Portal to create a cloud-based SQL database with just a few mouse clicks.

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce's AI ...

These fully managed cloud-native smart data services empower developers to build cloud-native database and machine learning (ML) applications in SQL environments with ease.

But it was SQL Server’s new machine learning tools that grabbed my attention. Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017.

How will SQL Database Edge connect back to Azure/on-premises? Azure SQL Database Edge has a streaming engine which is built on top of Azure Stream Analytics.