Revolution Newsletter: July 2012

July 25, 2012

(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 July edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email.

Quick Start Program for Hadoop: Revolution Analytics makes it easy for data analysts and IT teams to explore the powerful combination of Revolution R Enterprise and Hadoop. Our team of experts will help you plan, develop and deploy a prototype proof-of-concept analytic application, or take advantage of our R and Hadoop analytics technology to improve an existing application. Get started with the Revolution Analytics Quick Start Program.

Find a list of all of R's capabilities for analytics, data visualization, programming and applications at our new list of R Language Features.

The Joint Statistical Meetings (JSM) conference in San Diego starts on July 28, and Revolution Analytics is a proud sponsor. Join us for presentations on big-data GLM algorithms, census data analysis, and predictive analytics software, or find us in the Exhibition Hall for a demonstration of Revolution R Enterprise 6.

The Big-Data Generalized Linear Models in Revolution R Enterprise aren't just powerful and flexible: they're fast, too. See these benchmarks and a video demonstration.

Read: CIO magazine says Revolution R is a Big Data open source technology to watch.

The Revolution Analytics Webinar Series is taking a break for the Summer, but you can still watch free replays of recent presentations on operational risk managementspatial statistics and all the other webinars in the series. Got an idea for a future webinar? Let us know.

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 on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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