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.
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