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
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