One of the most notable additions to the Microsoft BI stack is the addition of Microsoft R Server inside SQL Server 2016. The inbuilt ScaleR packages deliver scalability and multithreading 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.

Supported by