01606 a2200181 4500 013680604X DLC DLC Morse, Stephen, Parallel systems in the data warehouse Stephen Morse, David Isaac. Upper Saddle River, NJ : Prentice Hall, 1998. 395 p. : ill. The Data Warehousing Institute series from Prentice Hall PTR ; 3. "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. Data warehousing. Parallel processing (Electronic computers) Isaac, David. BK 005.756 MOR ddc 6642 6642 0 0 0 0 NFIC CL CL DATA 2003-09-02 New Public Book 2006.15 0 005.756 MOR SEECS003800 2012-11-14 2017-01-05 BK