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.
There are two different ways to apply R in Power BI: the R Script for loading and transforming data, and the R Visual for additional enhancement and data visualization. This tutorial walks through a basic scenario using both.
This tutorial steps through the process of adding a sample R HTML visual, viewing it in Power BI Service, and altering the R script to quickly change the appearance of the custom visual.
Here are some insightful blog posts from the BlueGranite team surrounding advanced analytics and Microsoft R