In yesterday's webinar, "New Features in Revolution R Enterprise 5.0 to Support Scalable Data Analysis", Sue Ranney demonstrated the features of the RevoScaleR big data analysis package included with Revolution R Enterprise. In the webinar, she showed how to use the rxImport function to import big data sets from SAS, SPSS ... [Read more...]

A reminder that Sue Ranney will be presenting the webinar New Features in Revolution R Enterprise 5.0 (Including RevoScaleR) to support Scalable Data Analysis tomorrow (Thursday) at 11AM Pacific time. To whet your appetite, here's another video demonstation of more of the new big data analysis features, including the rxDataStep function ... [Read more...]

We're proud to announce the latest update to the enhanced, commercial-grade distribution of R, Revolution R Enterprise 5.0. With each new release, Revolution R Enterprise adds more capabilities to open-source R, to make R users more productive, to improve performance of R programs, to support Big Data analytics, and to provide ... [Read more...]

Revolution Analytics CTO David Champagne visited Hadoop World 2011 this week, and delivered a presentation on "The Powerful Marriage of R and Hadoop" to a standing-room-only crowd of R and Hadoop enthusiasts. I've included David's slides below: The talk also generated praise on Twitter, for example: David was also interviewed by ... [Read more...]

Revolution R Enterprise 5.0 will be released soon, and Sue Ranney, VP of Development at Revolution Analytics, will host a webinar on Thursday November 17 to get you up to speed on the latest features: Revolution R Enterprise 5.0 is Revolution Analytics’ scalable analytics platform. At its core is Revolution Analytics’ enhanced Distribution ... [Read more...]

Dan Woods at Forbes interviewed LinkedIn's Daniel Tunkelang about the rise of data science and on building data science teams. When asked how students today should prepare themselves to be data scientists, Tunkelang gives some good advice: When we built the data science team at LinkedIn a few years ago, ... [Read more...]

In the New York Times' "Bits" blog today, Quentin Hardy offers recollections on Big Data talks at the recent Web 2.0 Summit. He begins with a definition of Big Data: Big Data is really about ... the benefits we will gain by cleverly sifting through it to find and exploit new patterns ... [Read more...]

(By Joseph Rickert.) In San Jose topics like big data, map reduce, predictive models, mobile analytics and crowdsourcing draw a crowd even on a Saturday. So it turned out that the ACM data Mining Camp and "un-conference" was a very "happening" way to spend a Saturday. Over 500 people attended the ... [Read more...]

At the Bay Area R User Group meeting this week, Antonio Piccolboni gave an overview of the design goals and implementation of the RHadoop Project packages that connect Hadoop and R: rhdfs, rhbase and rmr: (The image above was captured from Antionio's slides.) The most revealing part of the talk ... [Read more...]

If you're in the Bay Area, tomorrow would be a great day to head down to San José for the ACM Data Mining Camp. Hundreds of data scientists, data hackers and data miners will be there for a fun "unconference", with talks and practical sessions organized on the spot according ... [Read more...]

(Contributing blogger Joe Rickert has put together a fantastic list of data sources suitable for use with R. If you're looking for data to use in the Applications of R Contest -- entries close October 31 -- this is a great resource for you -- Ed.) Hardly a day goes by ... [Read more...]

If you missed last week's webinar on using Revolution R and IBM Netezza to analyze the effectiveness of new rules intended to prevent another financial "Flash Crash", you can watch a replay by filling in this form. Once the replay begins, you can download the slides by clicking the "Download" ... [Read more...]

At the Oracle OpenWorld conference in San Francisco today, Oracle announced the new Oracle Big Data Appliance, "a new engineered system that includes an open source distribution of Apache™ Hadoop™, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of ... [Read more...]

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 ... [Read more...]

At 2:42PM on March 10 2010, without warning, the Dow Jones Industrial Index plunged more than 1000 points in just 5 minutes. It remains the biggest one-day decline in this stock market index in history. On an intra-day basis, anyway: by the end of the day, the market had regained 600 points of the drop. ... [Read more...]

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, ... [Read more...]

Revolution Analytics' Joe Rickert has a new post on inside-R.org, demonstrating how you can use R and the RevoScaleR package to extract time series data from time-stamped logs (in this case, the "US Domestic Flights From 1990 to 2009" dataset on Infochimps): Analyzing time series data of all sorts is a ... [Read more...]

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 ... [Read more...]

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: ... [Read more...]

At last month's useR! 2011 conference at Warwick University, there were two talks on the RevoScaleR package for big data statistics in R. The first was a keynote presentation from Revolution Analytics' Chief Scientist, Lee Edlefsen. Here is the overview of his talk, Scalable Data Analysis in R: For the past ... [Read more...]