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The 'Big Analytics' Revolution Starts with R


Presenters:

David Smith, VP of Marketing & Community, Revolution Analytics
David Champagne, CTO, Revolution Analytics

We’ll cover:

  • An overview of the Open Source “R,” language, and why it’s become the de-facto standard for statistical computing;
  • How ‘Big Data’ requires R’s ‘Big Analytics’ capabilities, including leveraging the new breed of popular data sources—such as Hadoop, NoSQL, and in-database data warehouses;
  • Use cases and implementation scenarios that share best practices for integrating R into your corporate analytics projects.

Revolution Analytics was named one of CIO Magazine’s 20 Companies to Watch in 2011 and we’re one of this year’s Gartner’s “Cool Vendors in BI and Analytics”. Our Revolution R Enterprise software can process, visualize and model 'Big Data' faster than legacy statistics products—at a fraction of their license cost—without employing expensive or specialized hardware.

About the speakers:

About the Speakers:
Speaker photoAbout the speaker

David Smith has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products. David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, David leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, David served as vice president of product management at Zynchros, Inc.