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Making R the Enterprise Standard for Cross-Platform Analytics

Last year Microsoft acquired Revolution Analytics, the leading commercial provider of software and services for R, an open source, statistical programming language that’s widely used for statistical computing and predictive analytics. Since then, there has been a steady cadence of updates to Revolution R Open and Revolution R Enterprise, as well as the integration of R with Microsoft Azure, SQL Server, PowerBI, and Cortana Analytics.
This month, Microsoft’s Machine Learning team announced a long list of updates to bring R-based analytics to new platforms, developers and the R community, including:

Microsoft R
“Delivering Microsoft R Server across multiple platforms allows our enterprise customers to standardize advanced analytics on one core tool, regardless of whether they are using Hadoop (Hortonworks, Cloudera and MapR), Linux (Red Hat and SUSE) or Teradata,” wrote Joseph Sirosh, Corporate Vice President, Microsoft Data Group. “For Windows, Microsoft R Server will be included in SQL Server 2016 as SQL Server R Services – and the combined bundle is less expensive than RRE standalone. Until SQL Server 2016 is released, Revolution R Enterprise for Windows remains available as a standalone product.”
For more on these updates and how to get started with R, check out the Machine Learning blog.