What-if analysis 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	2014-03-01T02:45:00Z
dc.date.available	2014-03-01T02:45:00Z
dc.date.issued	2007	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32091
dc.subject	Data Warehouse	en
dc.subject.other	Data warehouse sources	en
dc.subject.other	SQL	en
dc.subject.other	Abstracting	en
dc.subject.other	Graph theory	en
dc.subject.other	Problem solving	en
dc.subject.other	Query processing	en
dc.subject.other	Software engineering	en
dc.subject.other	Data warehouses	en
dc.title	What-if analysis for data warehouse evolution	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-74553-2_3	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-74553-2_3	en
heal.publicationDate	2007	en
heal.abstract	In this paper, we deal with the problem of performing what-if analysis for changes that occur in the schema/structure of the data warehouse sources. We abstract software modules, queries, reports and views as (sequences of) queries in SQL enriched with functions. Queries and relations are uniformly modeled as a graph that is annotated with policies for the management of evolution events. Given a change at an element of the graph, our method detects the parts of the graph that are affected by this change and indicates the way they are tuned to respond to it. © Springer-Verlag Berlin Heidelberg 2007.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-74553-2_3	en
dc.identifier.volume	4654 LNCS	en
dc.identifier.spage	23	en
dc.identifier.epage	33	en