Big Data: Principles and Paradigms


Big Data: Principles and Paradigms Paperback – 3 Jun. 2016
by 作者: Rajkumar Buyya,Rodrigo N. Calheiros (Series Editor),Amir Vahid Dastjerdi (Series Editor)pages 页数: 494 pages
ISBN-10 书号: 0128053941
ISBN-13 书号: 9780128053942
05 x 2.84 x 23.5 cm
Publisher Finelybook 出版社: Morgan Kaufmann (3 Jun. 2016)
Language 语言: English


Book Description
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.
Covers computational platforms supporting Big Data applications
Addresses key principles underlying Big Data computing
Examines key developments supporting next generation Big Data platforms
Explores the challenges in Big Data computing and ways to overcome them
Contains expert contributors from both academia and industry

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