November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Big Data
Again, we have some variation of the definition of big data. A large assemblage of data, data sets that are so large or complex that traditional data processing applications are inadequate, and data about every aspect of our lives have all been used to define or refer to big data. In 2001, then Gartner analyst Doug Laney introduced the 3V's concept.
You can refer to the link: http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf</span>
The 3V's, as per Laney, are volume, variety, and velocity. The V's make up the dimensionality of big data: volume (or the measurable amount of data), variety (meaning the number of types of data), and velocity (referring to the speed ...
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