Parallel R with Hadoop

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.