Microsoft R Server is a broadly deployable enterprise-class analytics platform based on R; it is scalable and secure. Supporting a variety of big data statistics, predictive modeling and machine learning capabilities, R Server supports the full range of analytics – exploration, analysis, visualization and modeling. It is compatible with the entire collection of open source algorithms, connectors, visualization tools shared openly via CRAN, Bioconductor and other shared resources like GitHub. At the same time key extensions enable R to tackle big data challenges that exceed the capacity of open source R. Scripts can be developed on the desktop and immediately deployed to RDBMS – SQL Server, EDW (SQL Server & Teradata) or Hadoop (Microsoft, Cloudera, Hortonworks and MapR).
For a development of Microsoft R experiments you may use Microsoft R Client, which is a free, community-supported data science tool for high performance analytics. R Client is built on top of Microsoft R Open so you can use any open source R packages to build your analytics. To benefit from disk scalability, performance and speed, you can push the compute context to a production instance of Microsoft R Server such as SQL Server R Services and R Server for Hadoop.
Business Excellence 