If you look at the programming languages that are popular these days, a few patterns emerge. I'm not talking about languages that have the most hits on the job sites. I'm talking about what the cool kids are coding in - the folks that hang out on hacke...
Revolution Analytics today announced that it has partnered with Cloudera, the leader in Apache Hadoop-based software and services, to make big-data analytics with Hadoop and R available to Revolution R Enterprise users. As we announced earlier this month, we have created three open-source R packages which make it possible for R users to write map-reduce programs in the R...
So ... there's clearly a lot of interest in integrating R and Hadoop. Today's webinar was a record-setter for Revolution Analytics, with more than 1000 people signing up to learn how to access Hadoop data from R with the packages from the open-source RHadoop project. If you didn't catch the live webinar, don't fret: the slides and replay are...
I’m headed back home from Strangeloop 2011 this morning. Once again I booked an early flight so was up at 4:45 to get to the airport (when will I learn?) The conference was a smashing success as far as I am concerned. It was extremely well run and the talks were full of solid content. 
We've lined up what we think is an amazing series of R-related webinars over the next couple of months. These free 30-60 minute webinars will cover a wide range of topics: big-data analysis in R with the RevoScaleR package, Hadoop and Netezza; introductions to R for SAS users and for R users new to Revolution R; and applications of...
MapReduce is a powerful programming framework for efficiently processing very large amounts of data stored in the Hadoop distributed filesystem. But while several programming frameworks for Hadoop exist, few are tuned to the needs of data analysts who typically work in the R environment as opposed to general-purpose languages like Java. That's why the dev team at Revolution Analytics...
I have an article out this week on ReadWriteHack: Unlocking Big Data with R. My thanks to the folks at ReadWriteWeb for giving us the opportunity to showcase some of the many real-world Big Data applications of R. Here are some additional links about the applications mentioned in the article: New York Times: Destruction of the Haiti earthquake; 2010...
The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full September edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Using Revolution R with Hadoop: Revolution Analytics has released three open-source R packages, making it...
In case you missed them, here are some articles from August of particular interest to R users. A contest to showcase applications of R for businesses is offering $20,000 in prizes from Revolution Analytics. Three new open-source packages integrating R and Hadoop will be introduced by Revolution Analytics' CTO David Champagne in a webinar on September 21. Dirk Eddelbuettel...
On Wednesday September 21, Revolution Analytics' CTO David Champagne will give a live webinar introducing three new open-source packages for R and Hadoop, which make it possible to work with Hadoop data in R, and bring in-database R analytics to Hadoop. Here are the details: Date: Wednesday, September 21st Time: 10:00AM - 10:30AM Pacific Time Presenter: David Champagne, Chief...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
