Big Data: Principles and Paradigms

by Amir Vahid Dastjerdi (Series Editor), Rajkumar Buyya (Editor), Rodrigo N. Calheiros (Series Editor)

New
Paperback
2016
$64.81

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.

Synopsis

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.

$64.81

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More Information

Format: Paperback
Pages: 494
Publisher: Morgan Kaufmann
Published: 03 Jun 2016
ISBN 10: 0128053941
ISBN 13: 9780128053942
Book Overview: Explains the key algorithms, tools, technologies, and best practices that enable Big Data platforms for numerous scientific, business, and consumer applications

Author Bio

Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 500 publications and four text books including Mastering Cloud Computing published by McGraw Hill, China Machine Press, and Elsevier/Morgan Kaufmann for Indian, Chinese and international markets respectively. He is one of the highly cited authors in computer science and software engineering worldwide. A Scientometric Analysis of Cloud Computing Literature by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of 2009 IEEE TCSC Medal for Excellence in Scalable Computing from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received 2010 Frost & Sullivan New Product Innovation Award and recently Manjrasoft has been recognised as one of the Top 20 Cloud Computing companies by the Silicon Review Magazine. He served as the foundation Editor-in-Chief of IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established 40+ years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com Dr. Rodrigo Calheiros is a Research Fellow in the Department of Computing and Information Systems, The University of Melbourne, Australia. He has been doing contribution in the fields of big data and cloud computing since 2009. He designed and developed CloudSim, an Open Source tool for simulation of cloud platforms used research centers, universities, and companies worldwide. Dr. Amir Vahid Dastjerdi is a research fellow with the Cloud Computing and Distributed Systems (CLOUDS) laboratory at the University of Melbourne. He received his PhD in computer science from the University of Melbourne and his areas of interest include Internet of Things, Big data, and cloud computing. He is a technology enthusiast who has over a decade experience in distributed systems.