Big Data

Principles and Paradigms

Rajkumar Buyya editor Amir Vahid Dastjerdi editor Rodrigo N Calheiros editor

Format:Paperback

Publisher:Elsevier Science & Technology

Published:9th Jun '16

Currently unavailable, and unfortunately no date known when it will be back

Big Data cover

Explains the key algorithms, tools, technologies, and best practices that enable Big Data platforms for numerous scientific, business, and consumer applications

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.

ISBN: 9780128053942

Dimensions: unknown

Weight: 1040g

494 pages