Overview
- Describes and evaluates the current state-of-the-art in new field
- Presents current systems, and applications from main research labs in this new explosive field
- Written at a level that business managers, entrepreneurs, and investors will find beneficial
- Includes supplementary material: sn.pub/extras
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Table of contents (30 chapters)
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Front Matter
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Architectures and Systems
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Front Matter
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ARCHITECTURES AND SYSTEMS
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Technologies and Techniques
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Front Matter
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TECHNOLOGIES AND TECHNIQUES
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Security
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Front Matter
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Keywords
About this book
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book.
Handbook of Data Intensive Computing is designed as a referencefor practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
Reviews
From the reviews:
“The material is written by experts from nearly 40 institutions, including academia, industry, and government; they are mostly from the US, but also from Europe, Asia, and Australia. … The editors make readers aware of the scale of data generated from a variety of sources, which require immediate comprehensive analyses. … The value of this book might be in collecting papers that focused on the issues of big data, so interested parties can have a handy overview of related problems and prospective solutions.” (Janusz Zalewski, ACM Computing Reviews, September, 2012)
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Handbook of Data Intensive Computing
Editors: Borko Furht, Armando Escalante
DOI: https://doi.org/10.1007/978-1-4614-1415-5
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4614-1414-8
Softcover ISBN: 978-1-4899-9919-1
eBook ISBN: 978-1-4614-1415-5
Edition Number: 1
Number of Pages: XVIII, 794
Topics: Database Management, Data Storage Representation, IT in Business, Special Purpose and Application-Based Systems, Computer System Implementation, Computer Applications