Data warehouse process management

dc.contributor.authorVassiliadis, P.en
dc.contributor.authorQuix, Chistophen
dc.contributor.authorVassiliou, Y.en
dc.contributor.authorJarke, Matthiasen
dc.date.accessioned2015-11-24T17:00:12Z
dc.date.available2015-11-24T17:00:12Z
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10725
dc.rightsDefault Licence-
dc.subjectData warehousingen
dc.subjectProcess modelingen
dc.subjectEvolutionen
dc.subjectQualityen
dc.titleData warehouse process managementen
heal.abstractPrevious research has provided metadata models that enable the capturing of the static components of a datawarehouse architecture, along with information on different quality factors over these components. This paper complements this work with the modeling of the dynamic parts of the datawarehouse. The proposed metamodel of datawarehouse operational processes is capable of modeling complex activities, their interrelationships, and the relationship of activities with data sources and execution details. Moreover, the metamodel complements the existing architecture and quality models in a coherent fashion, resulting in a full framework for quality-oriented datawarehousemanagement, capable of supporting the design, administration and especially evolution of a datawarehouse. Finally, we exploit our framework to revert the widespread belief that datawarehouses can be treated as collections of materialized views. We have implemented this metamodel using the language Telos and the metadata repository system ConceptBase.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalNameInformation Systemsen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2001-
heal.publisherElsevieren
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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