Large-Scale Data Processing with Hadoop and PHP

David Zuelke (02.Mar.2012 at 08:30)
Talk at ConFoo 2012 (English - UK)

Rating: 5 of 5

The MapReduce framework promises to make computing of large sets of data very easy. The approach 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 a live demo using Apache Hadoop, a major implementation of MapReduce, and Hadoop's streaming functionality that allows users to write processing jobs not just in Java, but in any programming language, including PHP.

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Rating: 5 of 5

02.Mar.2012 at 10:48 by Anonymous

Fairly technical but a good presentation of the usage of Hadoop.

Rating: 5 of 5

02.Mar.2012 at 13:58 by Anonymous

Probably the best presentation of ConFoo 2012 in Montreal. Was very informative and useful for those dealing with large scale infrastructures and high traffic. I would definitely suggest for any developers to attend any of David's future sessions!

Rating: 5 of 5

02.Mar.2012 at 19:19 by jbrisson (8 comments)

Live demo is always cool. Great presentation without fuss, just real stuff. Thanks

Rating: 5 of 5

06.Mar.2012 at 11:30 by Pierre Voisin (27 comments)

Amazing performance, great subject! David successfully managed to keep audience's attention and bring up a live, on-the-fly, demo which ran perfectly.
Definitely one of those names you go for before reading the session's subject... :)

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