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R – A Big Data Open-Source Technology To Watch

Designed in 1993, R is rapidly becoming the go-to tool for statistical analysis of very large data sets

CIO.com recently published its list of 9 open-source technologies to watch. Hadoop is first on the list, and second up is the R Project.

R is an open source programming language and software environment designed for statistical computing and visualization. R was designed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand beginning in 1993 and is rapidly becoming the go-to tool for statistical analysis of very large data sets.



It has been commercialized by a company called Revolution Analytics, which is pursuing a services and support model inspired by Red Hat's support for Linux. R is available under the GNU General Public License.


Other big-data technologies on the list include Cascading, Cassandra, HBase and mongoDB.

CIO.com: 9 open-source technologies to watch

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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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