Morse, Stephen, <br/><br/>
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. .
<br/><br/> "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. 
<br/><br/><label>ISBN: </label>013680604X 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data warehousing.<br/>Parallel processing (Electronic computers)