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In this talk, consultants will learn how and why to get Green Business certification for their consulting businesses, whether based in their homes or located in an office. Arthur Keller and Lisa Rose will describe the certification process, as well as rebates and other resources available for implementing measures to conserve energy and water, and prevent waste and pollution.
Ethernet Technology Summit Wednesday, February 24, 2010
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CNSV Event Details
Cloud Computing Paradigms: MapReduce, Hadoop, Cascading
Tuesday, May 19, 2009 7:00 PM
KeyPoint Credit Union
2805 Bowers Ave., Santa Clara, CA 95051
Chris K. Wensel, Scale Unlimited
Free to the public
No RSVP needed
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Presentation Slides


Cloud computing promises to make a significant impact on engineering computing paradigms and application design in a number of important arenas. Amazon's Elastic Compute Cloud and subsequent Elastic MapReduce is only one of many providers offering cloud computing.

This talk will provide an overview of common programming methods in the cloud, including MapReduce, Hadoop, and Cascading. Hadoop is an open source implementation of the Google MapReduce processing model which has been widely embraced by startups and established companies like Yahoo! and Amazon. Cascading is another open source project which provides an alternative API to MapReduce, and which allows developers to rapidly create sophisticated applications on the Hadoop platform.


About the Speaker(s)

Chris K. Wensel has been a Software and Systems Architect for over 15 years. He is the founder of Concurrent, Inc., and the originator of the Cascading data processing open-source project. He is also a Principal at Scale Unlimited, a professional services company offering commercial training and consulting for Hadoop and related scale-free architectures. Over the last seven years, Chris has deployed large and sophisticated data processing applications for use by companies providing geo-spatial, web content, and financial data services in both the traditional enterprise data-center and on Amazon EC2.
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