Parallel Systems in the Data Warehouse (Data Warehousing Institute Series from Prentice Hall)

Examines the use of parallel computing in the context of an enterprise-scale data warehouse. The text evaluates the three major parallel hardware architectures: symmetric multiprocessors, distributed memory machines, and distributed shared memory systems. Also looks at software architecture for parallel database systems, data partitioning and utilities, data mining on parallel systems, benchmarking and implementation, and on-line analytical processing. Includes four case studies of hardware/software combinations currently being used in the industry. Annotation c. by Book News, Inc., Portland, Or.