Name: Parallel R with Hadoop
Start: 2011-11-08T19:00:00-05:00
End: 2011-11-08T22:00:00-05:00
Location: AOL HQ

R is free, open-source, and in many ways a data scientist's dream ... but it strains under new-age Big Data problems. One solution is to use Hadoop's scalable, parallel computing framework to drive R. In this talk, consultant and author of the forthcoming book Parallel R, Q Ethan McCallum will walk through the what, how, and why of getting R to dance with the elephant.

We will also have a lightning talk from JunHo Cho, who will introduce his tool RHive, which integrates R with Hive.

Per are usual schedule, there will be pizza and networking starting at 6:15, then Q will begin promptly at 7pm, and for those interested we will make our way to a local bar after the presentation.

Drew Conway

New York Open Statistical Programming Meetup

Technology

Programming in R

Statistical Computing

Machine Learning

Applied Statistics

Data Visualization

R Project for Statistical Computing

Data Mining

Big Data

Data Analytics

Mathematics

Data Management

Software Development

Data Science

Parallel R with Hadoop

AOL HQ

Share

New York Open Statistical Programming Meetup

Parallel R with Hadoop

New York Open Statistical Programming Meetup

Details

Members are also interested in