Revolution Newsletter: March 2012

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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

Download Revolution R Enterprise, free for Academics. The new features of Revolution R Enterprise for Big Data analysis, productivity and web integration are available to all members of the academic community, free of charge. Students, teachers, and other faculty members: download your copy of Revolution R Enterprise 5 (including the high-performance build of open-source R) by visiting our Academic Download page.

IBM Netezza and Revolution R Enterprise: A powerful combinationHarvard Medical School and Brigham and Women's Hospital used massive simulations to analyze the efficacy of newly-released drugs. The State University of New York at Buffalo analyzed billions of gene combinations in the search for a cure for Multiple Sclerosis. Learn more about how Revolution R Enterprise and IBM Netezza work together in this demo of big-data classification trees and Naive Bayes models.

Get insight from Big Data with Hadoop and R. Our white paper Advanced ‘Big Data’ Analytics with R and Hadoop describes how to use Revolution R Enterprise and the powerful Map-Reduce framework to build powerful predictive models from massive data sets.

Last chance for our Winter Webinar Series. Our series concludes with Deloitte Consulting's James Guszcza, presenting on Actuarial Analytics with R on March 28. If you missed our recent webinars: high-performance analytics with Revolution R and NetezzaR for Academic Finance or Models Collecting Dust? How to Transform Your Results from Interesting to Impactful, replays are now available for on-demand viewing.

Revolution Analytics partners with Teradata. “Our innovative customers understand that big data analytics takes a smart approach to the entire infrastructure and we will enable them to differentiate their business in a cost-effective way,” said David Rich (CEO, Revolution Analytics), in this Teradata press release

Gartner Business Intelligence Summit, April 2-4. Visit the Revolution Analytics team in Los Angeles at the Gartner BI Summit to learn how predictive analytics with Revolution R Enterprise supercharges BI dashboards.

Last Call for User Group Sponsorships: Funding grants to support local R user groups are available by applying for 2012 R user group sponsorships from Revolution Analytics.

Call for beta testers: The next release of Revolution R Enterprise (featuring R 2.14.2) is coming soon. If you'd like a preview of new big-data GLM models, or distributed computing for Platform LSF, join our beta test program by emailing [email protected].

Revolution Analytics: Newsletter Archive

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)