Large-Scale Data Processing with Hadoop and PHP

David Zülke (11.Oct.2011 at 10:00)
Talk at International PHP Conference / WebTech Con 2011 (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

11.Oct.2011 at 11:58 by Anonymous

Nicely explained

Rating: 5 of 5

11.Oct.2011 at 13:15 by Daniel Londero (74 comments)

Great speaker, great session. Just an hint: integrate slides with links to all tools you mention. So even if I didn't note them I can quickly find on the slides without bothering you :)

Rating: 5 of 5

11.Oct.2011 at 16:34 by Jörg Basedow (49 comments)

Great talk, great speaker.

I'm especialy impressed by the ad hoc integration of Thorstens notebook into the demo.

Until today I thought I'd have no use case for Hadoop whatsoever. I was proven wrong.

Thanks :)

Speaker comment:

11.Oct.2011 at 19:23 by David Zülke (13 comments)

Thanks for the suggestion Daniel, that's a good idea. I actually had a few such ecosystem overview slides at some point but dropped them. Will adjust for the next iteration.

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