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Hadoop – Basics & Administration
Tuesday, November 29, 2011 from 10:00 AM to 3:00 PM (PST)
Santa Clara, CA
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.
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.
We will do a demo on a Hadoop cluster running on Amazon EC2..
Developers with Linux command line experience.
For further information, please contact:
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.
For full details, please visit the site.
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