📖 Principles of Big Data
Monday, October 1, 2018 by dev
Principles of Big Data
By:Jules J. Berman
Published on 2013-05-20 by Newnes
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 endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources
This Book was ranked at 15 by Google Books for keyword data.
Book ID of Principles of Big Data's Books is gEho0DI8a2kC, Book which was written byJules J. Bermanhave ETAG "4qyhgSHzBoE"
Book which was published by Newnes since 2013-05-20 have ISBNs, ISBN 13 Code is 9780124047242 and ISBN 10 Code is 0124047246
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Book which have "288 Pages" is Printed at BOOK under CategoryComputers
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