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Name: Thin Client Data Science
--client continuum --show pydata_sv_2013 --room a2 2243 --force
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Author(s):	Josh Levy
Location	A2
Date	mar Tue 19	Days Raw Files
Start	16:10	First Raw Start	15:57
Duration	00:50:00	Offset	0:12:47
End	17:00	Last Raw End	16:47
Chapters	00:00 0:24:46
Total cuts_time	30 min.

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Description:	The Data Science team at Vast builds data products informed by the behavior of consumers making big purchases. Our big data is billions of user interactions with millions of pieces of inventory. Recently we have adopted a data processing, analysis, and visualization environment based on remote access to IPython Notebook hosted by a powerful compute server. Our Data Science environment is inspired by a Development environment proposed by blogger Mark O'Connor. O'Connor advocates using an iPad as a thin client to connect to a more powerful server in the cloud. The combination of tablet plus server is better than a laptop for several reasons including: The tablet is more portable and offers longer battery life than a laptop; The server offers better performance (more and faster cores, more RAM, more CACHE) than a laptop; Laptops run loud and hot. The noise and heat of the server need not be close the tablet or the ears and lap of the user; The server is always running and the tablet can wake up and reconnect instantly; IPython Notebook is the keystone of our environment. It enables us to use the tablet browser as a thin client to work with our favorite Python libraries including matplotlb for visualization, scikit-learn for predictive modeling, and pandas for processing and aggregation. In this talk, I'll discuss configuring the Notebook server and the tablet client. I'll also show examples and results of actual analyses performed in this environment. markdown
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2013-03-19/16:14:26.dv Apply: 16:14:26 - 16:39:12 ( 00:24:46 ) S: 16:14:26 - E: 16:39:12 D: 00:24:46 show more...

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2013-03-19/16:44:58.dv Apply: 16:44:58 - 16:47:57 ( 00:02:59 ) S: 16:44:58 - E: 16:47:57 D: 00:02:59 show more...

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