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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.

Big Data Related Books

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.

Language: en
Pages: 481

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
Pages: 237

Big Data Using Hadoop and Hive

Authors: Nitin Kumar

Categories: Computers

Type: BOOK - Published: 2021-03-24 - Publisher: Mercury Learning and Information

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This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build d

Language: en
Pages: 362

Streaming Systems

Authors: Tyler Akidau

Categories: Computers

Type: BOOK - Published: 2018-07-16 - Publisher: "O'Reilly Media, Inc."

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Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming

Language: en
Pages: 567

Guide to Big Data Applications

Authors: S. Srinivasan

Categories: Technology & Engineering

Type: BOOK - Published: 2017-05-25 - Publisher: Springer

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This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resourc