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Time in Multidimensional Databases

Time in Multidimensional Databases

Alberto O. Mendelzon, Alejandro A. Vaisman
Copyright: © 2003 |Pages: 34
ISBN13: 9781591400530|ISBN10: 1591400538|EISBN13: 9781591400868
DOI: 10.4018/978-1-59140-053-0.ch006
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MLA

Mendelzon, Alberto O., and Alejandro A. Vaisman. "Time in Multidimensional Databases." Multidimensional Databases: Problems and Solutions, edited by Maurizio Rafanelli, IGI Global, 2003, pp. 166-199. https://doi.org/10.4018/978-1-59140-053-0.ch006

APA

Mendelzon, A. O. & Vaisman, A. A. (2003). Time in Multidimensional Databases. In M. Rafanelli (Ed.), Multidimensional Databases: Problems and Solutions (pp. 166-199). IGI Global. https://doi.org/10.4018/978-1-59140-053-0.ch006

Chicago

Mendelzon, Alberto O., and Alejandro A. Vaisman. "Time in Multidimensional Databases." In Multidimensional Databases: Problems and Solutions, edited by Maurizio Rafanelli, 166-199. Hershey, PA: IGI Global, 2003. https://doi.org/10.4018/978-1-59140-053-0.ch006

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Abstract

In spite of the obvious importance of time in data warehousing and OLAP, current commercial systems do not support tracking the history of a data warehouse, either at the schema or instance level. In this chapter we address this issue, introducing the Temporal Multidimensional Model and a query language, denoted TOLAP, allowing expressing temporal OLAP queries at a high level of abstraction. Further, we show that previous work in temporal databases needs to be extended in order to handle evolution and versioning in OLAP. Finally, we present an implementation, along with preliminary experimental results.

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