Название: Principles of Big data: Preparing, Sharing, and Analyzing Complex InformationАвтор: Jules J. Berman
Издательство: Morgan Kaufmann
Год: 2013
ISBN: 9780124045767
Формат: pdf
Страниц: 288
Размер: 5,7 mb
Язык: English
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