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

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.

Joey on SQL Server How To Automate Tasks in Azure SQL Database Knowing how to automate tasks in the cloud will make you a more productive DBA.

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.

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English ...

Interestingly, representation features that aid in communicating the contents of a database appear to hinder the learning of the SQL query language. We conclude that database representation is an ...