BIG DATA Training

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              Big DataThe problem space and example app...

  • Category: Professional & Short Term Course
  • Published: 28/12/2014
  • Current Rating: /5 0 Vote

    Description


                  Big Data



    • The problem space and example applications

    • Why don’t traditional approaches scale?

    • Requirements


    Hadoop Background



    • Hadoop History

    • The ecosystem and stack: HDFS, Map Reduce, Hive, Pig…

    • Cluster architecture overview


    Development Environment



    • Hadoop distribution and basic commands

    • Eclipse development


    HDFS Introduction



    • The HDFS command line and web interfaces

    • The HDFS Java API (lab)


    Map Reduce Introduction



    • Key philosophy: move computation, not data

    • Core concepts: Mappers, reducers, drivers

    • The Map Reduce Java API (lab)


    Real-World Map Reduce



    • Optimizing with Combiners and Practitioners (lab)

    • More common algorithms: sorting, indexing and searching (lab)

    • Relational manipulation: map-side and reduce-side joins (lab)

    • Chaining Jobs

    • Testing with MRUnit


    Higher-level Tools



    • Patterns to abstract “thinking in Map Reduce”

    • The Cascading library (lab)

    • The Hive database (lab)


     


    Phone Number : 7702999361
    Website URL : www.acutelearn.com

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