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Name: Dancing with Big Data: Disco + Inferno
--client pyconca --show pyconca2012 --room Lower_hall 1489 --force
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Author(s):	Tim Spurway & Mazdak Rezvani
Location	Lower hall
Date	nov Sun 11	Days Raw Files
Start	11:35	First Raw Start	11:34
Duration	00:20:00	Offset	0:00:24
End	11:55	Last Raw End	11:52
Chapters	00:00
Total cuts_time	17 min.

http://pycon.ca/talk/2
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assets release.pdf Dancing_with_Big_Data_Disco_Inferno.json
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Description:	In our search for a better Map/Reduce framework we found Disco, an Erlang/Python based Map/Reduce framework that's small, fast, elegant, understandable. We needed a way to tame the power of Disco and that's when we came up with the Inferno project which takes even more complexity out of Map/Reduce. With Inferno you concentrate about what you want from your data and not the underlying complexity. markdown
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2012-11-11/11_34_36.dv Apply: 11:34:36 - 11:51:47 ( 00:17:11 ) S: 11:34:36 - E: 11:51:47 D: 00:17:11 show more...

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2012-11-11/11_51_49.dv Apply: 11:51:49 - 11:52:03 ( 00:00:14 ) S: 11:51:49 - E: 11:52:03 D: 00:00:14 show more...

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