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Big data : principles and paradigms Cover Image

E-book

Big data : principles and paradigms

Buyya, Rajkumar, 1970- (editor.). Calheiros, Rodrigo N., (editor.). Vahid Dastjerdi, Amir, (editor.).

Summary: 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.

Record details

ISBN: 0128093463
ISBN: 9780128093467
Physical Description: 1 online resource (xxv, 468 pages) : illustrations (some color)
remote
Publisher: Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, [2016]

Content descriptions

Bibliography, etc. Note:	Includes bibliographical references and index.
Formatted Contents Note:	Part I. Big data science -- part II. Big data infrastructures and platforms -- part III. Big data security and privacy -- part IV. Big data applications.
Restrictions on Access Note:	NLC staff and students only.
Source of Description Note:	Online resource; title from PDF title page (ScienceDirect, viewed July 11, 2016).