Architecture and quality in data warehouses: An extended repository approach

Jarke, M; Jeusfeld, MA; Quix, C; Vassiliadis, P

dc.contributor.author	Jarke, M	en
dc.contributor.author	Jeusfeld, MA	en
dc.contributor.author	Quix, C	en
dc.contributor.author	Vassiliadis, P	en
dc.date.accessioned	2014-03-01T01:14:25Z
dc.date.available	2014-03-01T01:14:25Z
dc.date.issued	1999	en
dc.identifier.issn	0306-4379	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13057
dc.subject	data warehouses	en
dc.subject	meta data management	en
dc.subject	data quality	en
dc.subject	conceptual models	en
dc.subject	repository	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.other	ORIENTED APPROACH	en
dc.subject.other	INFORMATION	en
dc.title	Architecture and quality in data warehouses: An extended repository approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0306-4379(99)00017-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0306-4379(99)00017-4	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	Most database researchers have studied data warehouses (DW) in their role as buffers of materialized views, mediating between update-intensive OLTP systems and query-intensive decision support. This neglects the organizational role of data warehousing as a means of centralized information flow control. As a consequence, a large number of quality aspects relevant for data warehousing cannot be expressed with the current DW meta models. This paper makes two contributions towards solving these problems. Firstly, we enrich the meta data about DW architectures by explicit enterprise models. Secondly, many very different mathematical techniques for measuring or optimizing certain aspects of DW quality are being developed. We adapt the Goal-Question-Metric approach from software quality management to a meta data management environment in order to link these special techniques to a generic conceptual framework of DW quality. The approach has been implemented in full on top of the ConceptBase repository system and has undergone some validation by applying it to the support of specific quality-oriented methods, tools, and application projects in data warehousing. (C) 1999 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	INFORMATION SYSTEMS	en
dc.identifier.doi	10.1016/S0306-4379(99)00017-4	en
dc.identifier.isi	ISI:000080825900004	en
dc.identifier.volume	24	en
dc.identifier.issue	3	en
dc.identifier.spage	229	en
dc.identifier.epage	253	en