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R with Big Data on Hortonworks

If you missed last week's webinar with John Kreisa from Hortonworks (hosted by Data Science Central), we described how R fits into the Modern Data Architecture. Not only can you extract and distil data in Hadoop with the open-source RHadoop project, but with the forthcoming release of Revolution R Enterprise 7 you will be able to run the high-performance distributed R functions in Revolution R Enterprise on without having to move the data out of Hadoop, and using the Hadoop nodes as a parallel computation grid.   You can watch the replay of the webinar above, or download the slides from the presentation at the link below. Revolution Analytics Webinars: The Modern Data Architecture for Predictive Analytics with Revolution Analytics and Hortonworks Data Platform

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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

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