Large-scale real-time stream processing and analytics : how to gain insight from fast data /

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Bibliographic Details
Author / Creator:	Lorica, Ben, on-screen presenter.
Imprint:	[Place of publication not identified] : O'Reilly Media, [2015] ©2015
Description:	1 online resource (1 streaming video file (6 hr., 22 min.)) : digital, sound, color.
Language:	English
Subject:	Real-time data processing. Data mining. Data mining. Real-time data processing.
Format:	E-Resource Video
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13638882

Hidden Bibliographic Details
Varying Form of Title:	Moving toward artificial intelligence with neural networks and machine learning
Other authors / contributors:	O'Reilly & Associates. Strata Conference + Hadoop World Conference (2015 : San Jose).
Notes:	Title taken from thumbnail image on resource description page (Safari, viewed July 1, 2015) Selections from Strata + Hadoop World 2014 (that is, 2015). Presenter, Ben Lorica ... [and ten others].
Summary:	"Streaming data enables you to rapidly assess and respond to events, but only if you have the right methods for processing it. In this unique O'Reilly video collection--taken from live sessions at Strata + Hadoop World 2015 in San Jose, California--you'll learn about several analytics tools and event mining techniques from experts in the field."--Resource description page.

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