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Parallel R with Hadoop

  • Nov 8, 2011 · 7:00 PM

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.

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  • Richipal S.

    The group and organizers were great, the technology is still evolving...

    December 8, 2011

  • Jeremy D.

    I have a linux host where I would like to run some tests with regard to parallelizations using R.

    How many hosts are recommended for big data? :)

    November 28, 2011

  • Ashwin K.

    I haven't heard anything about the Revolution license either.

    November 28, 2011

  • Stuart A.

    I did not hear back about Revolution's licence. Any update on this?

    November 28, 2011

  • Jeremy D.

    I am so jazzed on this stuff.

    Please post more info, thx.

    November 28, 2011

  • A former member
    A former member

    Did anyone receive the Revolution Analytics workstation license? I haven't heard back about it.

    November 28, 2011

  • Phil S.

    My only complaint is that it is difficult for those of us under 6'6" (hint) to see the screen over people's heads due to its position on the wall. Otherwise, another great round of presentations and discussions.

    November 9, 2011

  • Yi W.

    Great

    November 9, 2011

  • Elliot N.

    Great update on alternative ways to combine R and Hadoop

    November 9, 2011

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