Big data [electronic resource] : understanding how data powers big business / Bill Schmarzo.

Bibliographic Details
Main Author: Schmarzo, Bill
Language:English
Published: Indianapolis, IN : John Wiley & Sons, [2013]
Subjects:
Business intelligence > Data processing.
Big data.
Business planning > Statistical methods.
Data mining.
Online Access:
ProQuest Ebook Central - Academic Complete: 2013 (Ebook Central @ Proquest)
Variant Title:
Understanding how data powers big business
Big Data: Understanding How Data Powers Big Business
Format: Electronic eBook

MARC

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245 1 0 |a Big data  |h [electronic resource] :  |b understanding how data powers big business /  |c Bill Schmarzo. 
246 3 0 |a Understanding how data powers big business 
246 2 |a Big Data: Understanding How Data Powers Big Business 
264 1 |a Indianapolis, IN :  |b John Wiley & Sons,  |c [2013] 
264 4 |c ©2013 
500 |a Includes index. 
505 0 |a The big data business opportunity -- Big data history lesson -- Business impact of big data -- Organizational impact of big data -- Understanding decision theory -- Creating the big data strategy -- Understanding your value creation process -- Big data user experience ramifications -- Identifying big data use cases -- Solution engineering -- Big data architectural ramifications -- Launching your big data journey -- Call to action. 
650 0 |a Business intelligence  |x Data processing. 
650 0 |a Big data. 
650 0 |a Business planning  |x Statistical methods. 
650 0 |a Data mining. 
773 0 |t ProQuest Ebook Central - Academic Complete   |d ProQuest Info & Learning Co 
776 1 |t Big data  |w (OCoLC)ocn842881124  |w (DLC)2013948011 
856 4 0 |y Access Content Online(from ProQuest Ebook Central - Academic Complete)  |u https://ezproxy.msu.edu/login?url=https://ebookcentral.proquest.com/lib/michstate-ebooks/detail.action?docID=1411623  |z ProQuest Ebook Central - Academic Complete: 2013