February 2015
Beginner to intermediate
498 pages
16h 57m
English
Content preview from Big Data
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Foreword by Jack Dongarra
It is apparent that in the era of Big Data, when every major field of science, engineering, business, and finance is producing and needs to (repeatedly) process truly extraordinary amounts of data, the many unsolved problems of when, where, and how all those data are to be produced, transformed, and analyzed have taken center stage. This book, Big Data: Algorithms, Analytics, and Applications, addresses and examines important areas such as management, processing, data stream techniques, privacy, and applications.
The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.