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Event Details
Hadoop Class – Basics & Administration
Overview of the key ideas behind Map-Reduce that make it an almost universal template for parallel programming, why Hadoop is important for cloud computing, the technology forces that fuel Map-Reduce, and what kind of problems are suitable and not suitable for this programming paradigm. The essential server components of Hadoop are reviewed and related to the theory of Map-Reduce computation, along with the most significant tuning parameters. Hadoop programs are demonstrated on a Hadoop cluster and compared to serial execution.
Guru
Sujee Maniyam has been consulting as a BigData architect. His clients include early stage startups in online advertising and enterprise companies like Hitachi Data Systems. Sujee has been developing software for the past 12 years in a variety of technologies (enterprise, web and mobile). His current interests are in Hadoop, BigData and NOSQL.
His articles about Hadoop and Amazon EMR and his open source work can be found at this site.
Lab Work
We will do a demo on a Hadoop cluster running on Amazon EC2..
Prerequisites
- Basic Linux command line skills.
- Laptop with WiFi for connecting to lab systems.
Audience
Developers with Linux command line experience.
Click here for further details
For further information, please contact:
Dj Das
djdas@thirdeyecloud.com
408-431-1487
When & Where
“The Network Meeting Center” at TechMart
5201 Great America Parkway, Suite #122
Santa Clara,
CA 95054
Tuesday, November 29, 2011 from 10:00 AM to 3:00 PM (PST)
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