Architecture and quality in data warehouses

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	2014-03-01T01:13:36Z
dc.date.available	2014-03-01T01:13:36Z
dc.date.issued	1998	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12594
dc.subject	Conceptual Framework	en
dc.subject	Data Management	en
dc.subject	Data Structure	en
dc.subject	Data Warehouse	en
dc.subject	Data Warehousing	en
dc.subject	Enterprise Modeling	en
dc.subject	Industrial Case Study	en
dc.subject	Information Flow Control	en
dc.subject	Materialized Views	en
dc.subject	meta model	en
dc.subject	Software Quality Management	en
dc.subject	Decision Support	en
dc.subject	Goal Question Metric	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	Architecture and quality in data warehouses	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BFb0054221	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BFb0054221	en
heal.language	English	en
heal.publicationDate	1998	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 mete 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. Initial feedback from ongoing experiments with a partial implementation of the resulting meta data structure in three industrial case studies provides a partial validation of the approach.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	ADVANCED INFORMATION SYSTEMS ENGINEERING	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/BFb0054221	en
dc.identifier.isi	ISI:000078928400006	en
dc.identifier.volume	1413	en
dc.identifier.spage	93	en
dc.identifier.epage	113	en