Next-Generation Azure Machine Learning ML and AI are the underpinning of "smart" systems that predict, spot patterns and exceptions, develop inferences about intent, and offer recommendations.

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.

A Microsoft Data Science VM enables you to run Azure Jupyter Notebooks, RStudio, and Azure tools in a SQL Server 2012 SP2 Enterprise or Windows Server 2012 R2 image.

Besides R Server 9.0, Microsoft announced the release of R Client 3.3.2, which is a slimmed down version of the main software that’s able to run on desktop personal computers, rather than servers.

Azure SQL Database Edge, now in private preview, runs on ARM and x64 processors and puts a lightweight database engine that supports the same SQL queries as SQL Server and Azure SQL Database.

Microsoft has emphasized its interesting in making the application of machine learning easier with SQL Server 2019. If you are interested in checking out these new capabilities, you can download ...

Native integration with Azure SQL Data Warehouse, Azure Storage, Azure Cosmos DB, Azure Active Directory and Power BI simplifies the creation of modern data warehouses that enable organizations to ...

It also has big data baked in with support for Spark and Hadoop. SQL Server 2019 can, unsurprisingly, run on-prem, on Azure Stack, or in the cloud.