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Deriving intelligence from large data using Hadoop and applying analytics

"Organizations today possess massive data - in tera- and petabytes - that needs to be effectively collected, stored and processed. Hadoop is a cost effective option that helps manage this big data. To derive real returns from these big data systems, one needs to extract useful insights and busi...

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Bibliographic Details
Main Author: Tyagi, Vineet
Format: eBook
Language:English
Published: [Sebastopol, Calif.?] O'Reilly Media 2011
Subjects:
Traitement Réparti
Fichiers (informatique) / Organisation
Electronic Data Processing / Distributed Processing / Http://id.loc.gov/authorities/subjects/sh85042293
File Organization (computer Science) / Fast / (ocolc)fst00924147
Apache Hadoop (computer File)
Electronic Data Processing / Distributed Processing / Fast / (ocolc)fst00906987
File Organization (computer Science) / Http://id.loc.gov/authorities/subjects/sh85048195
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"Organizations today possess massive data - in tera- and petabytes - that needs to be effectively collected, stored and processed. Hadoop is a cost effective option that helps manage this big data. To derive real returns from these big data systems, one needs to extract useful insights and business intelligence."--Resource description page
Item Description:Title from title screen. - Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, CA.
Physical Description:1 streaming video file (37 min., 1 sec.)

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