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      Apache Hadoop Developer's Track - Santa Clara, CA in Santa Clara

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      December 7, 2013

      Saturday   9:00 AM - 5:00 PM

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

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      Apache Hadoop Developer's Track - Santa Clara, CA

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

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

      Click here to see the details on Corporate site.

      The Apache Hadoop Developer's
      track deeply explores Hadoop Architecture, Ecosystem and Implementation considerations.
      This track stresses the combined Hadoop literacy concepts as learned through core concept instructions, hands-on lab work and detailed class discussions.

      The only way to engage industry demands is with strong fundamentals, and the Apache Hadoop Developer's track provides that crucial intellectual infrastructure.

      The core concepts taught in this track include:

      • The importance of Hadoop in today's world
      • The technological fuels of MapReduce, Hive & Pig
      • Overview of MapReduce, Hive & Pig as an almost-universal template for Big Data analytics
      • Appropriate, and non-appropriate, application environments for these programming paradigms

      The instructors review Hadoop's essential server components and detail its relation to MapReduce. Hive & Pig programming. Learners discover the integrated process with hands-on lanbs. Hadoop fine tuning parameters, definitive guidelines for distributed cluster setup, MapReduce, Hive & Pig programming and real-time monitoring, are colvered in this two day track.

      Distributed multinode Hadoop clusters are provided by
      The Hadoop clusters can be accessed & worked on by simply using any browser, without the need to download, install & setup anything.

      The Apache Hadoop Developer's track is the ultimate introductory experience for future industry players. It's thorough, accessible and industry-driven. Students can make a fun and challenging weekend of it and emerge with the empowerment of foundational knowledge.
      The Apache Hadoop Developer's track is a core component of the "Technology Series" of classes.
       Lab Work

      The Apache Hadoop Developer's Track is distinct from any other such industry class, because lab work comprises over 50 percent of the total course work.
      This track s places learners in the "hands-on" industry hot seat within a safe, nurturing class environment. The students are guided by Big Data gurus who have years of industry experience & can answer detailed technical questions. Students have the dual benefits of working on their own Hadoop clusters as part of a team setting during the class while also being able to work on the Hadoop clusters at their own time and leisure. Students can excel individually, or in groups as best they prefer.
      These clusters are provided by

      Lab training utilizes Click Stream, Facebook and Twitter data in these MapReduce, Hive & Pig labs.
      The labs feature industry-standard core components, such as MapReduce, Hive & Pig.


      Basic Unix skill, Basic Java programming & SQL knowledge.

      Course Duration

      1 Full Day

      Course Location

      • 3200 Coronado Dr, Santa Clara, CA 95054
      • Virtual Attendance


      Developers, Business Analysts, Managers, Administrators


      Before Class – 1 Day before; 6 to 7pm PST

      •                    Meet and Greet students – Online

      •                    Hadoop Setup – Support

      •           - Overview

       Day 1

      •                    Hadoop Architecture and Background

      •                    Hadoop Ecosystem  - Review and Comparisons of Big Data Latest Tools

      •                    Map Reduce Programming & Performance Monitoring

      •                    Big Data Random Access vs. Hadoop's Batch Processing                              •                    Demo – Hadoop Processes and Infrastructure

      •                    Data Load Utility Overview (like Sqoop)

      •                    Hive – System/Data Flow, Architecture, Implementation, DDL & DML                             •                    Pig - Concepts and ETL

      •                    Map Reduce Programming - Advanced Concepts including high level overview of Mahout

      •                    60% Lab – Pig, Map Reduce Programming, NoSQL Data Modeling

      •                    Q/A & Support

      After Class – 1 Day after; 6 to 7pm PST

      •                    Follow Up Questions and Support Recommended Readings

      1. Hadoop
      2. Hadoop Definitive Guide – by Tom White
      3. Programming Pig – by Alan Gates

       Click here to see the details on Corporate site.

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      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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