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

"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...

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Bibliographic Details
Main Author: Lorica, Ben
Corporate Author: Strata Conference + Hadoop World Conference (2015, San Jose)
Format: eBook
Language:English
Published: [Place of publication not identified] O'Reilly Media 2015
Subjects:
Real-time Data Processing / Fast / (ocolc)fst01091219
Real-time Data Processing / Http://id.loc.gov/authorities/subjects/sh85111765
Temps Réel (informatique)
Data Mining / Fast / (ocolc)fst00887946
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Exploration De Données (informatique)
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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
Item Description:Title taken from thumbnail image on resource description page (Safari, viewed July 1, 2015). - Selections from Strata + Hadoop World 2014 (that is, 2015)
Physical Description:1 streaming video file (6 hr., 22 min.) digital, sound, color

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