Handbook of Data Intensive Computing

Nonfiction, Computers, Database Management, Information Storage & Retrievel, General Computing
Cover of the book Handbook of Data Intensive Computing by , Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781461414155
Publisher: Springer New York Publication: December 10, 2011
Imprint: Springer Language: English
Author:
ISBN: 9781461414155
Publisher: Springer New York
Publication: December 10, 2011
Imprint: Springer
Language: English

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 reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.

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

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 reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.

More books from Springer New York

Cover of the book Looking Back by
Cover of the book Measuring E-government Efficiency by
Cover of the book Impact of Nonlinearities on Fiber Optic Communications by
Cover of the book Wireless Networking Based Control by
Cover of the book Transport and Fate of Chemicals in the Environment by
Cover of the book REST: From Research to Practice by
Cover of the book Psychiatric Diagnosis by
Cover of the book Percutaneous Image-Guided Biopsy by
Cover of the book Sustainable Environmental Design in Architecture by
Cover of the book Introduction to Printed Electronics by
Cover of the book Understanding Urban Ecosystems by
Cover of the book Interdisciplinary Applications of the Person-Centered Approach by
Cover of the book State-Space Models by
Cover of the book Bat Bioacoustics by
Cover of the book Genomics, Proteomics, and the Nervous System 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