Principles of Big Data is popular PDF and ePub book, written by Jules J. Berman in 2013-05-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Principles of Big Data can be Read Online from any device for your convenience.
Principles of Big Data Book PDF Summary
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
Detail Book of Principles of Big Data PDF
- Author : Jules J. Berman
- Release : 20 May 2013
- Publisher : Newnes
- ISBN : 9780124047242
- Genre : Computers
- Total Page : 288 pages
- Language : English
- PDF File Size : 14,7 Mb
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