March 10-12, 2010
Montreal, Canada

An Introduction to MapReduce

The MapReduce framework promises to make computing of large sets of data very easy. An original approach, it offers excellent scalability across many computing nodes, and can easily be integrated with existing systems. This session will give an introduction to the basic techniques and ideas behind MapReduce, followed by hands-on examples using Apache Hadoop, a major implementation of MapReduce, including Hadoop's streaming functionality that allows users to write mapper and reducer tasks in PHP, Python or Ruby.

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David Zuelke

Heroku

David works at Heroku, a cloud platform as a service headquartered in San Francisco. He was already building applications for the Web when the dot-com bubble burst, and went on to co-own a software consultancy before exploring the e-commerce and Berlin startup scene. Based in Munich, Germany, he is a regular speaker at technology conferences around the world and an avid fan of all things fast or exciting.

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