Big data : principles and paradigms /

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....

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Buyya, Rajkumar, 1970- (Editor), Calheiros, Rodrigo N. (Editor), Vahid Dastjerdi, Amir (Editor)
Format:	eBook
Language:	English
Published:	Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, [2016]
Subjects:	Big data. Données volumineuses. COMPUTERS > Data Processing. Big data Electronic books. dissertations. Academic theses Academic theses. Thèses et écrits académiques.
Online Access:	Connect to the full text of this electronic book

Description
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.
Physical Description:	1 online resource (xxv, 468 pages) : illustrations (some color)
Bibliography:	Includes bibliographical references and index.
ISBN:	9780128093467 0128093463