Revolution Newsletter: December 2011

December 14, 2011
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full December edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email.

Applications of R in Business Contest. judging panel of industry experts and R community members will decide which of the Applications of R in Business Finalists will receive the $10,000 grand prize from Revolution Analytics.

What does Revolution R Enterprise add to open source R? On December 14, Learn how R is "Ready for Business" in our live webinar. Register now for Revolution R Enterprise: 100% R and More.

Webinar: Big Data Analysis Starts with R. Join Revolution Analytics CTO David Champagne to learn how companies of all types and sizes can integrate “R” into their “big data” analytics infrastructure strategy. Register now for the live presentation on December 20.

Michigan State University speeds up research with Revolution R Enterprise. With the new distributed computing capabilities, the Statistical Computing Cluster ran four times as many jobs, and cut a big-data computation's processing time by more than 90%. Read the new case study.

The Data Step for R: our new white paper describes how to use Revolution R Enterprise to import very large data sets and transform them using the R language in our new white paper. Download the RevoScaleR Data Step White paper here.

Revolution Analytics at Hadoop World. If you missed the conference in New York, you can download slides and a video interview from a CTO David Champagne's talk: The Marriage of R and Hadoop.

Revolution Analytics in the news. IT Business Edge takes a look at Revolution R Enterprise 5.0 and how itmakes Big Data enterprise-accessibleSilicon Angle focuses on the Hadoop integrationInformationWeekcontrasts Revolution Analytics with SAS; the New York Times looks at low-cost options for predicting the future; and Forbes says Big Data needs to earn its keep with data analysis.

Revolution Analytics: Newsletter Archive

 

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