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Eclipse Authors: Pat Romanski, Elizabeth White, Liz McMillan, David H Deans, JP Morgenthal

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The rise of R as the language of analytics

It's no coincidence that while the usage of the R language is skyrocketing (as shown in the recent Rexer Analytics and KDNuggets polls), the growth in data scientist jobs is also skyrocketing. R is the lingua franca of data science, and as the pervasive statistical software in the academic sector, there's a steady-stream of newly-minted graduates trained in R, data science, and often other open-source technologies including Hadoop. A couple of weeks ago, I sat down with DataInformed's Michael Goldberg to talk about the rise of R as the analytics programming language for business. The interview covered a wide range of topics, including: How the Big Data movement has led companies to set up data science teams to extract value from all the data they have collected and stored; That because R is the lingua franca of data science, businesses are rapidly adopting R to support these data science programs  How new data platforms like Hadoop, which are often though of as data storage platforms, can also be powerful data science platforms with the in-Hadoop and in-Database capabilities of Revolution R Enterprise. Ways to solve the "last mile problem" of delivering the results of predictive models to those in the company that will make decisions using those prediction; and The importance of the open source community for users of analytics software You can listen to the full 20-minute interview at the link below. Data Informed: The Rise of R as an Analytics Programming Language for Business

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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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