Cover for Big Data

Big Data

Principles and Paradigms

Book2016

Authors:

Rajkumar Buyya, Rodrigo N. Calheiros and Amir Vahid Dastjerdi

Big Data

Principles and Paradigms

Book2016

 

Cover for Big Data

Authors:

Rajkumar Buyya, Rodrigo N. Calheiros and Amir Vahid Dastjerdi

About the book

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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 fu ... read full description

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    Index

    Pages 457-468

About the 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.

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.

Key Features

  • 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
  • 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

Details

ISBN

978-0-12-805394-2

Language

English

Published

2016

Copyright

Copyright © 2016 Elsevier Inc. All rights reserved.

Imprint

Morgan Kaufmann

Authors

Rajkumar Buyya

The University of Melbourne and Manjrasoft Pty Ltd, Australia

Rodrigo N. Calheiros

The University of Melbourne, Australia

Amir Vahid Dastjerdi

The University of Melbourne, Australia