Beyond MapReduce - In-memory Analysis with Spark and Shark

The data analysis landscape has changed dramatically in a short amount of time. Hadoop and the MapReduce paradigm make sense for some use cases, but I'll introduce you to high-speed in-memory analysis using Spark. Spark's developer-friendly collection-based API is reason enough to take a look, not to mention its support for streaming analysis. Shark allows you to run HiveQL queries against your Spark cluster. I'll show you how to get everything up and running--and working with open source Cassandra.

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  • Nick P.

    Sorry to have missed this Robbie. I'm glad you tackled this topic as it was the same I was initially going to do! Hope all is well and to catch up soon.

    July 18

  • Monosij D.

    Much appreciated learning about the topic and experience that went behind it. Great arrangements and events.

    July 16

  • Anand B.

    Thanks for making a note about Scala. Always happy to learn more.

    July 16

  • Joshua W.

    Great, great talk!

    July 16

  • Sean D.

    I am willing to do an "Admin Quick Start" talk on Cassandra. I can share the important concepts to help Cassandra admins be productive sooner and introduce some tools I have written to make life a bit easier for us Admins. Any interest?

    3 · July 16

  • Sean D.

    I enjoyed learning about Spark and its possibilities with Cassandra. Robbie is helpful as always. Matt, nice job!

    July 16

  • Oliver V.

    Great presentation gentlemen. Thank you for taking the time to put together an informative talk and sharing your experiences.

    1 · July 16

  • Tao

    It was very informative. To us who just started Hadoop journey, it was just in time. Thanks again!

    July 16

  • Rob M.

    great talk AND BBQ!

    1 · July 16

  • Amit K.

    It was a good conversation. Thanks Robbie and Matt.

    July 15

  • Tim E.

    Thanks to Robbie and Matt for the informative presentation and hosting tonight.

    1 · July 15

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