mapreduce class - introduction
DESCRIPTION
Hadoop classes offered byte-sized, 3 hours each, after work hours, conducted by industry veterans with a practical “from-the-trenches” approach.TRANSCRIPT
Hadoop classes offered byte-sized, 3 hours each, after work hours, conducted by industry veterans with a practical “from-
the-trenches” approach.
MapReduce Class – Introduction
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.
Instructor:
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.
Audience:
Developers, Data Analytics professionals, Business Analysts, Managers
Recommended Readings:
O’Reilly’s ‘Hadoop’ book by Tom White
Hadoop tutorial on YDN
Class Dates:
August 30th 2011
Class Timings:
6:00 pm to 9:00 pm
Class Location:
Third Eye’s Offices at
2900 Gordon Ave, Suite 100-20
Santa Clara, CA 95051
Price:
$150 - 25% off if bought two weeks before the class
$180 - 10% off if bought one week before the class
$200 - Full price if bought within less than a week
For further information, please contact:
Dj Das
408-431-1487
Register today!