Large-Scale Data Processing with Hadoop and PHP

David Zülke (31.May.2011 at 17:00)
Talk at International PHP Conference 2011 Spring Edition (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 examples using Apache Hadoop, a major implementation of MapReduce, together with PHP.

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Comments

Rating: 5 of 5

31.May.2011 at 16:05 by Anonymous

Really informative and Funny talk with an excellent prepared live-demo Part.

Rating: 5 of 5

31.May.2011 at 16:42 by Anonymous

Great talk, great presentation!

Rating: 5 of 5

31.May.2011 at 17:05 by Christoph Luehr

Stylish, up-to-the-point slides (not too packed). Fluent, entertaining presentation, good summaries / infos. Liked the demo part very much.
I'm quite sick of the "Lets sum up some integer values map/reduce example", though. On the other hand, anything more complicated might have been too much.

Rating: 5 of 5

31.May.2011 at 21:11 by Anonymous

Just great and very informative. The live demo part was somehow too fast - you couldn't really follow that many details.

Rating: 5 of 5

01.Jun.2011 at 02:09 by Bastian Hofmann

really great talk with excellent live demos

Rating: 5 of 5

06.Jun.2011 at 09:55 by Sebastian Beyer

Great presentation. Fun to listen to.

Rating: 5 of 5

08.Jun.2011 at 12:14 by Anonymous

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