Leveraing R in Hadoop Environments

A Big Analytics Webinar from Revolution Analytics

Presented:	Wednesday, September 21st
Presenter:	David Champagne, Chief Technology Officer, Revolution Analytics
	Download the webinar presentation & View the webinar replay (Windows Media File .wmv)

Traditional IT infrastructure is simply unable to meet the demands of the new “Big Data Analytics” landscape. Many enterprises are turning to the “R” statistical programming language and Hadoop (both open source projects) as a potential solution. This webinar will introduce the statistical capabilities of R within the Hadoop ecosystem. We’ll cover:

An introduction to new packages developed by Revolution Analytics to facilitate interaction with the data stores HDFS and HBase so that they can be leveraged from the R environment
An overview of how to write Map Reduce jobs in R using Hadoop
Special considerations that need to be made when working with R and Hadoop.

We’ll also provide additional resources that are available to people interested in integrating R and Hadoop.

Presenter Bio

David Champagne is a top software architect, programmer and product manager with more than 20 years of experience in enterprise and web application development for business customers across a wide range of industries. As Principal Architect/Engineer for SPSS, Champagne led the development teams, created and led the text mining architecture team and was responsible for a variety of open source initiatives. Prior to that, he served as Vice President of Software Engineering for LexiQuest, in charge of software development, quality assurance and publications for the company's entire product line.