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Data Warehouse Architecture and Quality: Impact and Open Challenges
RWTH Aachen University & Fraunhofer FIT, Germany.
Tilburg University, Netherlands.
RWTH Aachen University & Fraunhofer FIT, Germany .
University of Ioannina, Greece .
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2013 (English)In: Seminal Contributions to Information Systems Engineering / [ed] Janis Bubenko, John Krogstie, Oscar Pastor, Barbara Pernici, Colette Rolland, Arne Sølvberg, Berlin Heidelberg: Springer Berlin/Heidelberg, 2013, 183-189 p.Chapter in book (Other (popular science, discussion, etc.))
Abstract [en]

The CAiSE 98 paper “Architecture and Quality in Data Warehouses” and its ex-panded journal version (Jarke et al. 1999) was the first to add a Zachman-like(Zachman 1987) explicit conceptual enterprise modeling perspective to the archi-tecture of data warehouses. Until then, data warehouses were just seen as collec-tions of – typically multidimensional and historized – materialized views on rela-tional tables, without consideration of modeling of the (business) conceptsunderlying their structure. The paper pointed out that this additional conceptualperspective was not just necessary for a truly semantic data integration but also aprerequisite for bringing the then very active data warehouse movement togetherwith another topic of quickly growing importance, that of data quality.

Place, publisher, year, edition, pages
Berlin Heidelberg: Springer Berlin/Heidelberg, 2013. 183-189 p.
Keyword [en]
data ware house, data quality, metamodel
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-8931DOI: 10.1007/978-3-642-36926-1_14ISBN: 978-3-642-36926-1 ISBN: 978-3-642-36925-4 OAI: oai:DiVA.org:his-8931DiVA: diva2:704977
Available from: 2014-03-13 Created: 2014-03-13 Last updated: 2014-08-22Bibliographically approved

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