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.
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