R statistical computing has grown from a research and prototyping tool into a key component of commercial analytics platforms. The greatest evidence of this may be in Microsoft’s acquisition and subsequent embedding of Revolution R in its key data and analytics technologies.
This tutorial walks through some basic development and deployment scenarios for R Services in SQL Server 2016. You will use sample order data and take R code that can be run standalone in RStudio or another R IDE, adapt it for use in SQL Server, and then consume it both in SQL Management Studio as well as from Reporting Services.
R Server on Azure HDInsight is a convenient way to utilize R in a distributed environment. In this tutorial, you will create an HDInsight cluster that includes R Server using the Azure Portal. You will then install RStudio on the R Server edge node. Finally, you will use R to manage HDFS resources, change compute contexts, and build models under each context. General familiarity with HDInsight, HDFS, and R is assumed.
Here are some insightful blog posts from the BlueGranite team surrounding advanced analytics and Microsoft R