High-Performance Parallel Database Processing and Grid Databases (Hardcover)

David Taniar

ISBN 10: 0470107626 / ISBN 13: 9780470107621

Published by John Wiley & Sons Inc, New York, 2008

About this Item

Hardcover. 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. High Performance Parallel Database Processing and Grid Databases targets the theoretical/conceptual details needed to form a base of understanding and then delivers information on development, implementations, and analytical modeling of parallel databases. This includes key information on new developments with grid databases. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780470107621

Bibliographic Details

• Title: High-Performance Parallel Database Processing and Grid Databases (Hardcover)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 2008
• Language: English
• ISBN 10: 0470107626
• ISBN 13: 9780470107621
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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, PhD, 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, PhD, 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, PhD, 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, PhD, is a software consultant and holds a PhD in computer systems engineering from RMIT University, Australia. His research interests are in grid transaction management and software development processes, such as agile computing.