TY  - GEN
AU  - Morse,Stephen
AU  - Isaac,David
TI  - Parallel systems in the data warehouse 
SN  - 013680604X
PY  - 1998///
CY  - Upper Saddle River, NJ
PB  - Prentice Hall
KW  - Data warehousing
KW  - Parallel processing (Electronic computers)
N2  - "Discover why parallel computing offers an ideal foundation for enterprise-scale data warehousing - and how to make the right strategic and tactical decisions about these critical technologies."--BK JACKET. "What are the right questions to ask? What aren't the vendors telling you? How do benchmarks relate to real-world results? Parallel Systems in the Data Warehouse evaluates all three major parallel hardware architectures, comparing scalability, performance and sustainable I/O bandwidth: symmetric multiprocessors (SMP), distributed memory (DM) or "massively parallel" machines, and distributed shared memory (DSM) systems ("non-uniform memory access" machines)."--BK JACKET. "Consistently high throughput is critical to the success of data warehousing - and traditional techniques like normalization and indexing aren't enough anymore. Learn smarter table partitioning strategies, star schema and other powerful techniques to fully exploit the inherent scalability and high I/O bandwidth of parallel hardware."--BK JACKET
ER  -