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      Map Reduce Programming - Deep Dive in Santa Clara

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      July 28, 2013 - September 29, 2013

      Sunday   1:00 PM - Sunday 5:00 PM

      2900 Gordon Ave, Suite 100-20
      Santa Clara, California 95051

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      EVENT DETAILS
      Map Reduce Programming - Deep Dive

      NOTE:
      If purchasing a LPI test voucher only, please select any date.
      The test voucher is valid until June 30th
      2014.

      This class is being offered in partnership with the Linux Professional Institute.

      Click here to see the details on site.

      An exhaustive class which covers in-depth of all MapReduce concepts. Students will learn:

      • Parallel processing, functional programming as the foundation for Hadoop.
      • How map and reduce work.
      • How map and reduce collaborate through shuffle.
      • HDFS fundamentals. Input, output formats.
      • Simple examples of Map Reduce with Java & Map Reduce with Streaming.
      • Anatomy of a Hadoop job: Job Submission & Execution.
      • Compression, serialization.
      • Configuration and tuning.
      • Multiple map reduce jobs and Hadoop workflow.
      • Monitoring and error handling.
      • Deal with complex Map Reduce examples.
      Lab Work

      Hands on lab exercises working with Big Data sets on a Hadoop cluster running on Amazon EC2.Prerequisites

      Basic Linux command line skills and server-side Java experienceAudience

      Developers, Data Analytics professionals, Business Analysts, ManagersRecommended Readings

      - O'Reilly's ‘Hadoop’ book by Tom White - Hadoop tutorial on YDNClass Duration:

      4 hours ClassClass Location:

      3200 Coronado Drive, Santa Clara,CA 95054Registration:

      Option 1:
      Pay using Paypal at training@thirdeyecss.com 24 hours before the class.

      Option 2:
      Send us a check payable to "Third Eye CSS" at the mailing Address :
      5201 Great America Parkway, Suite 320, Santa Clara, CA 95054.
      Check must be received 24 hours before the class start time.

      Option 3:

      Pay using Eventbrite!

      Click here to see the details on site.

      Cost: Visit EventBrite.com for pricing.

      Categories: Conferences & Tradeshows

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.
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