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Byte Sized Hadoop Classes

MapReduce – Introduction (Set 2)

Big Data Cloud University

Wednesday, October 5, 2011 from 6:00 PM to 9:00 PM (PDT)

MapReduce – Introduction (Set 2)

Ticket Information

Ticket Type Sales End Price Fee Quantity
Early Bird - 25% off Regular Prices Ended $150.00 $9.24
A-Bit-Late-But-Still-Early-Bird - 10% off Regular Prices Ended $180.00 $10.89
Regular Price Ended $200.00 $11.99

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Event Details

An exhaustive class which goes down to the basics of MapReduce where 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.

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Pranab Ghosh is a freelance consultant,  currently working for Motorola, helping them process ever growing volume mobile device usage data, using Hadoop and other cloud technologies. For more than 25 years, he has worked with myriad of technologies and platforms in various business domains for early stage startups, large corporations and anything in between.  He is an active blogger and open source contributor. His current interests are big data, distributed processing, NOSQL databases and data mining.

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.


Developers, Data Analytics professionals, Business Analysts,  


Recommended Readings:

§  O’Reilly’s ‘Hadoop’ book by Tom White

§  Hadoop tutorial on YDN

For further information, please contact:

Dj Das

Click here to see full details

Have questions about MapReduce – Introduction (Set 2)? Contact Big Data Cloud University

When & Where

Third Eye’s Offices
2900 Gordon Ave, Suite 100-20
Santa Clara, CA 95051

Wednesday, October 5, 2011 from 6:00 PM to 9:00 PM (PDT)

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Big Data Cloud University

Big Data classes offered “group study “style, with dedicated clusters in hands-on labs, conducted by industry experienced gurus, with a “from-the-trenches’ approach.

Technology Series
- Get Hands on with the Fundamentals.
Solution Series
- Develop Solutions, Hand held by Gurus.
Business Series
- Apply Big Data Technologies to Your Unique Business Needs.

 For full details, please visit the site.

  Contact the Organizer
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