000			01606 a2200181 4500
020			_a013680604X
040			_aDLC _bDLC
100	1		_aMorse, Stephen,
245	1	0	_aParallel systems in the data warehouse _cStephen Morse, David Isaac.
260			_aUpper Saddle River, NJ : _bPrentice Hall, _c1998.
300			_a395 p. : _bill.
440		4	_aThe Data Warehousing Institute series from Prentice Hall PTR ; _v3.
520	1		_a"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.
650		0	_aData warehousing.
650		0	_aParallel processing (Electronic computers)
700	1		_aIsaac, David.
942			_cBK _k005.756 MOR _2ddc
999			_c6642 _d6642