HEAL DSpace

A framework for the design of ETL scenarios

Αποθετήριο DSpace/Manakin

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dc.contributor.author Vassiliadis, P en
dc.contributor.author Simitsis, A en
dc.contributor.author Georgantas, P en
dc.contributor.author Terrovitis, M en
dc.date.accessioned 2014-03-01T01:18:31Z
dc.date.available 2014-03-01T01:18:31Z
dc.date.issued 2003 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/15061
dc.subject Data Warehouse en
dc.subject Logic Design en
dc.subject Extract Transform Load en
dc.subject.classification Computer Science, Theory & Methods en
dc.title A framework for the design of ETL scenarios en
heal.type journalArticle en
heal.identifier.primary 10.1007/3-540-45017-3_35 en
heal.identifier.secondary http://dx.doi.org/10.1007/3-540-45017-3_35 en
heal.language English en
heal.publicationDate 2003 en
heal.abstract Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into a data warehouse. In this paper, we delve into the logical design of ETL scenarios. We describe a framework for the declarative specification of ETL scenarios with two main characteristics: genericity and customization. Moreover, we present a palette of several templates, representing frequently used ETL activities along with their semantics and their interconnection. Finally, we discuss implementation issues and we present a graphical tool, ARKTOS II that facilitates the design of ETL scenarios, based on our model. © Springer-Verlag Berlin Heidelberg 2003. 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 10.1007/3-540-45017-3_35 en
dc.identifier.isi ISI:000185035400033 en
dc.identifier.volume 2681 en
dc.identifier.spage 520 en
dc.identifier.epage 535 en


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