Big data analytics / by Kim H Pries and Robert Dunnigan : A practical guide for managers

By:

Pries, Kim H [author]

Contributor(s):

Dunnigan, Robert [co-author]

Material type: Text

TextLanguage: English Publication details: Boca Raton : CRC Press, 2015.Description: xix, 556p. : illISBN:

9781482234510

Subject(s):

Other classification:

D65,8(B):3:(8) Q5

Summary: With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package. The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses.

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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Textual	Central Science Library	Central Science Library	D65,8(B):3:(8) Q5 (Browse shelf(Opens below))	Available	SL1598147

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Index 541-556p.

With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.

Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package.
The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses.

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