Microsoft R Server is one of the leading options if you need to analyse big data using R. To get you started EdX have a new (and free) course—Analyzing Big Data with Microsoft R Server. It covers using the RevoScaleR package to build models and deploying them to Spark and SQL Server.
The ScaleR package provides functions for performing scalable and extremely high performance data management, analysis, and visualization in R. It was only available to those who had a Microsoft R Server license—until now. With the introduction of the free Microsoft R Client for Windows tool you can now work with the full set of ScaleR […]
The complete Microsoft R Server documentation is now available on MSDN—and is publicly accessible. It includes comprehensive details of the RevoScaleR High Performance Analytics package. RevoScaleR includes the following analysis functions rxSummary (basic summary statistics) rxLinMod (linear modeling) rxLogit (logistic regression modeling) rxGlm (generalized linear modeling) rxCovCor (covariance/correlation, with convenience functions, rxCov, rxCor, and rxSSCP) […]
Familiar with R and wondering what Microsoft R Open and Microsoft R Server bring to the table? Then check out Lixun Zhang’s article.
Learning Tree just published my overview of Microsoft R Server.