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Título Big data : principles and paradigms / edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi.

Publicación Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, [2016]
Descripción física 1 online resource (xxv, 468 pages) : illustrations (some color)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Colección ScienceDirect 2015/16
Resumen: 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.
Nota Online resource; title from PDF title page (ScienceDirect, viewed July 11, 2016).
Bibliografía Includes bibliographical references and index.
Contiene: Part I. Big data science -- part II. Big data infrastructures and platforms -- part III. Big data security and privacy -- part IV. Big data applications.
Materia Big data.
Big data. (OCoLC)fst01892965
COMPUTERS / Data Processing
Autor secundario Buyya, Rajkumar, 1970- editor.
Calheiros, Rodrigo N. editor.
Vahid Dastjerdi, Amir, editor.
OTRO SOPORTE Original 0128053941 9780128053942
ISBN 9780128053942 (print)
0128053941 (print)
ISBN/ISSN AU@ 000058455484
CHVBK 374437459
CHNEW 000885045
DEBSZ 480364192
AU@ 000059222040
DEBBG BV043894101