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What is Model Versioning

Chapter 15
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
Building several versions of a model where each new version corresponds to a schema evolution or an evolution of data valid for a given period.
Published in Chapter:
A Survey of Data Warehouse Model Evolution
Cécile Favre (University of Lyon (ERIC Lyon 2), France), Fadila Bentayeb (University of Lyon (ERIC Lyon 2), France), and Omar Boussaid (University of Lyon (ERIC Lyon 2), France)
Copyright: © 2009 |Pages: 8
DOI: 10.4018/978-1-60566-242-8.ch015
Abstract
A data warehouse allows the integration of heterogeneous data sources for analysis purposes. One of the key points for the success of the data warehousing process is the design of the model according to the available data sources and the analysis needs (Nabli, Soussi, Feki, Ben-Abdallah & Gargouri, 2005). However, as the business environment evolves, several changes in the content and structure of the underlying data sources may occur. In addition to these changes, analysis needs may also evolve, requiring an adaptation to the existing data warehouse’s model. In this chapter, we provide an overall view of the state of the art in data warehouse model evolution. We present a set of comparison criteria and compare the various works. Moreover, we discuss the future trends in data warehouse model evolution.
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