Big Data

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Big Data

Author	: Viktor Mayer-Schönberger
Publisher	: Houghton Mifflin Harcourt
Total Pages	: 257
Release	: 2013
ISBN-10	: 9780544002692
ISBN-13	: 0544002695
Rating	: 4/5 (695 Downloads)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

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Language: en
Pages: 257

Big Data

Authors: Viktor Mayer-Schönberger

Categories: Business & Economics

Type: BOOK - Published: 2013 - Publisher: Houghton Mifflin Harcourt

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A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

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Big Data at Work

Authors: Thomas Davenport

Categories: Business & Economics

Type: BOOK - Published: 2014-02-04 - Publisher: Harvard Business Review Press

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Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Compet

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Big Data

Authors: James Warren

Categories: Computers

Type: BOOK - Published: 2015-04-29 - Publisher: Simon and Schuster

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Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifical

Language: en
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Composition and Big Data

Authors: Amanda Licastro

Categories: Language Arts & Disciplines

Type: BOOK - Published: 2021-11-02 - Publisher: University of Pittsburgh Press

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In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows

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Big Data, Big Analytics

Authors: Michael Minelli

Categories: Business & Economics

Type: BOOK - Published: 2013-01-22 - Publisher: John Wiley & Sons

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Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new