Name: Principles of big Data: Preparing, Sharing, and Analyzing Complex Information (en Inglés)
SKU: 47286381
Price: 64.65 USD
Availability: InStock
Author: Jules J. Berman

portada Principles of big Data: Preparing, Sharing, and Analyzing Complex Information (en Inglés)

Principles of big Data: Preparing, Sharing, and Analyzing Complex Information (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

Jules J. Berman

Año

2013

Idioma

Inglés

N° páginas

288

Encuadernación

Tapa Blanda

ISBN13

9780124045767

N° edición

Categorías

Gestión del conocimiento

Principles of big Data: Preparing, Sharing, and Analyzing Complex Information (en Inglés)

Jules J. Berman (Autor) · Morgan Kaufmann · Tapa Blanda

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Reseña del libro "Principles of big Data: Preparing, Sharing, and Analyzing Complex Information (en Inglés)"

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 computersAvoid the pitfalls in Big Data design and analysisUnderstand 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