Data-Intensive Computing

Architectures, Algorithms, and Applications

Nonfiction, Computers, Database Management, General Computing
Cover of the book Data-Intensive Computing by , Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781139793049
Publisher: Cambridge University Press Publication: October 29, 2012
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9781139793049
Publisher: Cambridge University Press
Publication: October 29, 2012
Imprint: Cambridge University Press
Language: English

The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice.

More books from Cambridge University Press

Cover of the book The Cambridge Companion to Gay and Lesbian Writing by
Cover of the book Hypsodonty in Mammals by
Cover of the book Sign Languages by
Cover of the book Rights Come to Mind by
Cover of the book Old Books, New Technologies by
Cover of the book Property Rights and Property Wrongs by
Cover of the book Introduction to Banach Spaces: Analysis and Probability: Volume 1 by
Cover of the book China's Conservative Revolution by
Cover of the book Comparing Tort and Crime by
Cover of the book Learning Identities, Education and Community by
Cover of the book The Cambridge Handbook of Cognitive Linguistics by
Cover of the book An Introduction to the Philosophy of Art by
Cover of the book The Early Modern Hispanic World by
Cover of the book Before Anarchy by
Cover of the book Language Maintenance and Shift by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy