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Designing distributed data warehouses and OLAP systems

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dc.contributor.authorZhao, Jane
dc.contributor.editorKaschek, Roland
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorLiddle, Stephen
dc.date.accessioned2019-10-11T08:54:16Z
dc.date.available2019-10-11T08:54:16Z
dc.date.issued2005
dc.description.abstractOn-line analytical processing (OLAP) systems deal with analytical tasks in businesses. As these tasks do not depend on the latest updates by transactions, it is assumed that the data used in OLAP systems are kept in a data warehouse, which separates the input coming from operational databases from the output going to dialogue interfaces for OLAP. In this article we present a 3-tier architecture for data warehouses and OLAP systems capturing the fundamental requirement of separating input from operational databases from output to OLAP systems. On this basis we start developing refinement rules to enable step-wise refinement for such systems, which includes pragmatic guidelines for the application of such rules.en
dc.identifier.isbn3-88579-392-X
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28351
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformation systems technology and its applications, ISTA' 2005
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-63
dc.titleDesigning distributed data warehouses and OLAP systemsen
dc.typeText/Conference Paper
gi.citation.endPage263
gi.citation.publisherPlaceBonn
gi.citation.startPage254
gi.conference.date23.-25. May 2005
gi.conference.locationPalmerston North, New Zealand
gi.conference.sessiontitleRegular Research Papers

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P063 - ISTA 2005 - Information Systems Technolopgy and its Applications