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Revolution R Enterprise 7 now generally available

Now that the limited availability period is complete, we're pleased to announce that Revolution R Enterprise 7 is now generally available for all customers on the following platforms (see the detailed list of supported platforms): Windows and Red Hat Enterprise Linux workstations Windows, Red Hat Enterprise Linux and SUSE Linux servers Platform LSF and Microsoft HPC Server clusters Cloudera and Hortonworks Hadoop clusters This new release brings many new improvements to Revolution R Enterprise, including: The latest Open Source R 3.0.2 engine New big-data predictive modeling capabilities, including "decision forests" ensemble models, interactive decision trees, and stepwise selection for GLMs. New "Write Once, Deploy Anywhere" functionality, that allows the same big-data predictive analytics R code to run in Hadoop, and in Teradata database. (Teradata support will be generally available in Q1, 2014.) New integration accelerators for Tableau and Excel, improved ODBC connectivity, PMML export and much more. To learn more about Revolution R Enterprise 7, take a look at the ComputerWorld article, "Hadoop gets native R tools for big data analysis", watch our on-demand webinar "Introducing Revolution R Enterprise 7", download the Revolution R Enterprise 7 datasheet (PDF) or simply contact us for more information. If you're an existing subscriber of Revolution R Enterprise, you will already have received an email with download instructions for your upgrade. Revolution R Enterprise 7 has also now available free of charge to students, teachers and researchers as part of our Academic Program. We hope you enjoy using Revolution R Enterprise 7. Let us know what you think of the improvements! Revolution Analytics: What's new in Revolution R Enteprise 7

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid