Changes of Dimension Data in Temporal Data Warehouses

Changes of Dimension Data in Temporal Data Warehouses

Abstract

Time is one of the dimensions we frequently find in data warehouses allowing comparisons of data in different periods. In current multi-dimensional data warehouse technology changes of dimension data cannot be represented adequately since all dimensions are (implicitly) considered as orthogonal. We propose an extension of the multi-dimensional data model employed in data warehouses allowing to cope correctly with changes in dimension data: a temporal multi-dimensional data model allows the registration of temporal versions of dimension data. Mappings are provided to transfer data between different temporal versions of the instances of dimensions and enable the system to correctly answer queries spanning multiple periods and thus different versions of dimension data.

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Authors
  • Eder, Johann
  • Koncilia, Christian
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  • © 2001 Springer Verlag (<a href='http://www.springer.de/comp/lncs/index.html'>WWW</a>)
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings
Event Title
3rd International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001)
Divisions
Workflow Systems and Technology
Event Location
Munich, Germany
Event Type
Conference
Event Dates
2001-09-05
Series Name
Lecture Notes in Computer Science 2114
Publisher
Springer Verlag
Page Range
pp. 284-293
Date
September 2001
Official URL
http://www.pri.univie.ac.at/Publications/2001/Eder...
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