One of the most notable additions to the Microsoft BI stack is the addition of Microsoft R Server inside SQL Server 2016.

The in-built ScaleR packages deliver scalability and multi-threading capabilities that open-source R can’t easily provide, opening up a world of possibilities for data scientists interested in machine learning and predictive analytics. But what does this look like on a Microsoft platform?

Oliver Frost, a Data Engineer at Consolidata, demonstrates what tools are available to you as a data scientist inside SQL Server 2016 and on Azure. Discover how R adds value where traditional relational databases struggle, how to use ScaleR functions to build predictive models and see how Azure ML can be used to build efficient machine learning pipelines.