Publication: Temporal Versioning in Data Warehouses
Master data
Title: | Temporal Versioning in Data Warehouses |
Subtitle: | |
Abstract: | Data warehouses are nowadays widely-spread, build to provide an integrated view on data enabling enhanced analyzes. Usually, they serve as long-term memory, allowing multi-period queries. More often than not, data warehouses represent data in multidimensional data cubes, where transaction data (called cells, fact data or measures) are described in terms of master data (also called dimension members) hierarchically organized in dimensions. Data warehouses are build to deal with modifications in transaction data. They are, however, not able to deal with changes in the structure of these dimensions in a sophisticated way. In this chapter, we will discuss our approach for temporal data warehousing, called \comet. This approach allows to deal with schema and instance modifications in a sophisticated way by introducing schema and instance versioning techniques. Furthermore, transformation functions are provided to map data from one version of structure into another. |
Keywords: |
Publication type: | Article in compilation (Authorship) |
Publication date: | 2003 (Print) |
Published by: |
Advances in Computation: Theory and Practice
Advances in Computation: Theory and Practice
(
NOVA Publishers;
R. Corchuelo, A. Ruiz-Cortes, R. Wrembel
)
to publication |
Title of the series: | ACTP Series |
Volume number: | - |
First publication: | Yes |
Page: | pp. 73 - 97 |
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Publication date: | 2003 |
ISBN: |
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ISSN: | - |
Homepage: | - |
Authors
J. Eder
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C. Koncilia
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Johann Eder (internal) |
Christian Koncilia (internal) |
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Informatik-Systeme
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AT - A-9020 Klagenfurt |
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