Benchmarking ETL Workflows

Simitsis, A; Vassiliadis, P; Dayal, U; Karagiannis, A; Tziovara, V

dc.contributor.author	Simitsis, A	en
dc.contributor.author	Vassiliadis, P	en
dc.contributor.author	Dayal, U	en
dc.contributor.author	Karagiannis, A	en
dc.contributor.author	Tziovara, V	en
dc.date.accessioned	2014-03-01T01:57:43Z
dc.date.available	2014-03-01T01:57:43Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28490
dc.subject	Complex Data	en
dc.subject	Data Warehouse	en
dc.subject	Design and Implementation	en
dc.subject	Evaluation Method	en
dc.subject	Extract Transform Load	en
dc.subject	Point of Interest	en
dc.title	Benchmarking ETL Workflows	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/978-3-642-10424-4_15	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-10424-4_15	en
heal.publicationDate	2009	en
heal.abstract	Extraction–Transform–Load (ETL) processes comprise complex data workflows, which are responsible for the maintenance of a Data Warehouse. A plethora of ETL tools is currently available constituting a multi-million dollar market. Each ETL tool uses its own technique for the design and implementation of an ETL workflow, making the task of assessing ETL tools extremely difficult. In this paper, we identify	en
dc.identifier.doi	10.1007/978-3-642-10424-4_15	en