Design metrics for data warehouse evolution

Papastefanatos, G; Vassiliadis, P; Simitsis, A; Vassiliou, Y

dc.contributor.author	Papastefanatos, G	en
dc.contributor.author	Vassiliadis, P	en
dc.contributor.author	Simitsis, A	en
dc.contributor.author	Vassiliou, Y	en
dc.date.accessioned	2014-03-01T02:45:13Z
dc.date.available	2014-03-01T02:45:13Z
dc.date.issued	2008	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32215
dc.subject	Data Warehouse	en
dc.subject	Data Warehouse Design	en
dc.subject.other	Alternative configurations	en
dc.subject.other	Like queries	en
dc.subject.other	Software modules	en
dc.subject.other	Warehouse designs	en
dc.subject.other	Administrative data processing	en
dc.subject.other	Data warehouses	en
dc.subject.other	Database systems	en
dc.subject.other	Design	en
dc.subject.other	Electric resistance	en
dc.subject.other	Multi agent systems	en
dc.subject.other	Warehouses	en
dc.title	Design metrics for data warehouse evolution	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-87877-3-32	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-87877-3-32	en
heal.publicationDate	2008	en
heal.abstract	During data warehouse design, the designer frequently encounters the problem of choosing among different alternatives for the same design construct. The behavior of the chosen design in the presence of evolution events is an important parameter for this choice. This paper proposes metrics to assess the quality of the warehouse design from the viewpoint of evolution. We employ a graph-based model to uniformly abstract relations and software modules, like queries, views, reports, and ETL activities. We annotate the warehouse graph with policies for the management of evolution events. The proposed metrics are based on graph-theoretic properties of the warehouse graph to assess the sensi tivity of the graph to a set of possible events. We evaluate our metrics with experiments over alternative configurations of the same warehouse schema. © 2008 Springer Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-87877-3-32	en
dc.identifier.volume	5231 LNCS	en
dc.identifier.spage	440	en
dc.identifier.epage	454	en