Handbook of Data Intensive Computing
Handbook of Data Intensive Computing
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.
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.
Ebook format: PDF
Ebook page: 795
File size: 20.28 MB
Ebook page: 795
File size: 20.28 MB
$50.00

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