000			03048cam a22003977a 4500
001			15088061
003			APU
005			20151007051503.0
008			071120s2008 gw 001 0 eng
010			_a 2007941791
015			_aGBA773575 _2bnb
016	7		_a013889287 _2Uk
020			_a9783540744047 (hbk.)
035			_a(OCoLC)ocn171563695
040			_aUKM _cUKM _dLMN _dANA _beng
042			_alccopycat
050	0	0	_aQA76.9.D37 _bM35 2008
082	0	0	_a005.74 _222 _bMAL 2008
100	1		_aMalinowski, Elzbieta. _910814
245	1	0	_aAdvanced data warehouse design : _bfrom conventional to spatial and temporal applications / _cElzbieta Malinowski, Esteban Zimányi.
260			_aBerlin : _bSpringer, _cc2008.
300			_axxi, 435 p. : _bill. ; _c24 cm.
440			_aData-centric systems and applications _99898
504			_aIncludes bibliographical references (p. 391-409) and index.
520	1		_a"Malinowski and Zimanyi explain in detail conventional data warehouse design, covering in particular complex hierarchy modeling. Additionally, they address two innovative domains recently introduced to extend the capabilities of data warehouse systems, namely the management of spatial and temporal information. Their presentation covers different phases of the design process, such as requirements specification, conceptual, logical, and physical design. They include three different approaches for requirements specification depending on whether users, operational data sources, or both are the driving force in the requirements gathering process, and they show how each approach leads to the creation of a conceptual multidimensional model. Throughout the book the concepts are illustrated using many real-world examples and completed by sample implementations for Microsoft's Analysis Services 2005 and Oracle 10g with the OLAP and the Spatial extensions." "For researchers this book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course. The book may help experienced data warehouse designers to enlarge their analysis possibilities by incorporating spatial and temporal information. Finally, experts in spatial databases or in geographical information systems could benefit from the data warehouse vision for building innovative spatial analytical applications."--BOOK JACKET.
650		0	_aData warehousing. _9490
650		0	_aMultidimensional databases _xDesign. _910815
650		0	_aSpatial data infrastructures _xDesign. _910816
650		0	_aTemporal databases _xDesign. _910817
700	1		_aZimányi, Esteban. _910818
830		0	_aData-centric systems and applications. _99898
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2lcc _cBook _01
999			_c5749 _d5749