Blueprints and measures for ETL workflows

Vassiliadis, P; Simitsis, A; Terrovitis, M; Skiadopoulos, S

dc.contributor.author	Vassiliadis, P	en
dc.contributor.author	Simitsis, A	en
dc.contributor.author	Terrovitis, M	en
dc.contributor.author	Skiadopoulos, S	en
dc.date.accessioned	2014-03-01T02:43:09Z
dc.date.available	2014-03-01T02:43:09Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31259
dc.subject	Quality Measures	en
dc.subject	Software Quality	en
dc.subject	Extract Transform Load	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Data centric workflows	en
dc.subject.other	ETL workflows	en
dc.subject.other	Graph-based techniques	en
dc.subject.other	Workflow graphs	en
dc.subject.other	Blueprints	en
dc.subject.other	Computer software	en
dc.subject.other	Data structures	en
dc.subject.other	Graph theory	en
dc.subject.other	Mathematical models	en
dc.subject.other	Semantics	en
dc.subject.other	Data flow analysis	en
dc.subject.other	Blueprints	en
dc.subject.other	Computer Programs	en
dc.subject.other	Mathematical Models	en
dc.title	Blueprints and measures for ETL workflows	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11568322_25	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11568322_25	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	Extract-Transform-Load (ETL) workflows are data centric workflows responsible for transferring, cleaning, and loading data from their respective sources to the warehouse. Previous research has identified graph-based techniques that construct the blueprints for the structure of such workflows. In this paper, we extend existing results by explicitly incorporating the internal semantics of each activity in the workflow graph. Apart from the value that blueprints have per se, we exploit our modeling to introduce rigorous techniques for the measurement of ETL workflows. To this end, we build upon an existing formal framework for software quality metrics and formally prove how our quality measures fit within this framework. © Springer-Verlag Berlin Heidelberg 2005.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11568322_25	en
dc.identifier.isi	ISI:000233418200025	en
dc.identifier.volume	3716 LNCS	en
dc.identifier.spage	385	en
dc.identifier.epage	400	en