June 2016
Beginner to intermediate
494 pages
17h 52m
English
Content preview from Big Data
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Chapter 1
Big Data Analytics = Machine Learning + Cloud Computing
C. Wu; R. Buyya; K. Ramamohanarao
Abstract
“Big Data” can mean different things to different people. The scale and challenges of Big Data are often described using three attributes, namely volume, velocity, and variety (3Vs), which only reflect some of the aspects of data. In this chapter, we review historical aspects of the term “big data” and the associated analytics. We augment the 3Vs with additional attributes of big data to make it more comprehensive and relevant. We show that Big Data is not just the 3Vs, but actually 32Vs; that is, 9Vs covering the fundamental motivation behind Big Data, which is to incorporate business intelligence based on different hypothesis or statistical ...
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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.