Hadoop is-dead
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Hadoop is-dead

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The report of Hadoop's death has been greatly exaggerated.

The report of Hadoop's death has been greatly exaggerated.

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    Hadoop is-dead Hadoop is-dead Presentation Transcript

    • Clint Green (+clintgreen)HADOOP: NOT DEAD YET
    • “Big Data” is when the size of the data itself becomes part of the problem. - Big Data Now, O’Reilly
    • PERCEPTION IS REALITY
    • Hadoop is Flawed “You can’t install it without an expert.”“Fine for R&D, but not for realproduction.” “Hadoop is just for batch processing.”“The dirty-little-secret with Hadoop is…”
    • Hadoop isn’t for RealWork™1.Adopt Hadoop for pilot projects.2.Scale Hadoop to production use.3.Observe an unacceptable performance penalty.4.Morph to a real parallel DBMS.
    • Atomicity Consistency IsolationDurability
    • “4.Morph to a real parallel DBMS.”
    • REALITY IS RELATIVE
    • Evolve“Hadoop has become the kernel of thedistributed operating system for Big Data…No one uses the kernel alone.” -Doug Cutting, Strata 2012 (Cloudera, ASF)
    • Hadoop + MapReduce “There is nothing really embarrassing about embarrassingly parallel applications." -Luiz André Barroso, ACM 2011 (Distinguished Engineer Google)
    • Not Just for Batch Anymore…APACHE APACHE HAMA D R I L L
    • Apache Hadoop YARNThe per-application ApplicationMaster is, ineffect, a framework specific library and istasked with negotiating resources from theResourceManager and working with theNodeManager(s) to execute and monitor thetasks.
    • No Secret Here
    • Help is on the Way
    • ACTUAL PROBLEMS
    • Clint Green (+clintgreen)THANK YOU