The latest techniques and principles of parallel and grid
database processing
The growth in grid databases, coupled with the utility of
parallel query processing, presents an important opportunity to
understand and utilize high-performance parallel database
processing within a major database management system (DBMS). This
important new book provides readers with a fundamental
understanding of parallelism in data-intensive applications, and
demonstrates how to develop faster capabilities to support them. It
presents a balanced treatment of the theoretical and practical
aspects of high-performance databases to demonstrate how parallel
query is executed in a DBMS, including concepts, algorithms,
analytical models, and grid transactions.
High-Performance Parallel Database Processing and Grid
Databases serves as a valuable resource for researchers working
in parallel databases and for practitioners interested in building
a high-performance database. It is also a much-needed,
self-contained textbook for database courses at the advanced
undergraduate and graduate levels.
About the author
David Taniar, Ph D, lectures in information technology at
Monash University, Australia. Dr. Taniar has published extensively
in the field of high- performance parallel databases and is the
Editor in Chief of the International Journal of Data Warehousing
and Mining.
Clement H. C. Leung, Ph D, is Foundation Chair in Computer
Science at Victoria University, Australia. Dr. Leung previously
held the Established Chair in Computer Science at the University of
London.
Wenny Rahayu, Ph D, is Associate Professor at La Trobe
University, Australia, and actively works in the areas of database
design and implementation, covering object-relational databases and
Web databases.
Sushant Goel, Ph D, is a software consultant and holds a
Ph D in computer systems engineering from RMIT University,
Australia. His research interests are in grid transaction
management and software development processes, such as agile
computing.
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