Principles of Big Data. Preparing, Sharing, and Analyzing Complex Information Cover

Principles of Big Data. Preparing, Sharing, and Analyzing Complex Information

ISBN/ASIN: 9780124045767,1299619215,9781299619210,0124045766 | 2013 | English | pdf | 267/267 pages | 3.18 Mb
Publisher: Elsevier Science & Technology | Author: Jules J. Berman (Auth.)

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endo Read more…

Abstract: Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endo

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Principles of Big Data. Preparing, Sharing, and Analyzing Complex Information

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