JISBD2007-02: Ingeniería inversa dirigida por modelos para el diseño de almacenes de datos (JISBD2007-02: Model-driven reverse engineering for data warehouse design)

J. N. Mazón (jnmazon@dlsi.ua.es), J. Trujillo (jtrujillo@dlsi.ua.es)

Universidad de Alicante
This paper appears in: Revista IEEE América Latina

Publication Date: Aug. 2008
Volume: 6,   Issue: 4 
ISSN: 1548-0992

Data warehouses integrate several operational sources to provide a multidimensional analysis of data, thus improving the decision making process. Therefore, an in-depth analysis of these data sources is crucial for data warehouse development. Traditionally, this analysis has been based on a set of informal guidelines or heuristics to support the manually discovery of multidimensional elements on a well-known documentation. Therefore, this task may become highly tedious and prone to fail. In this paper, MDA (Model Driven Architecture) is used to design a reverse engineering process in which the following tasks are performed (i) obtain a logical representation of data sources (ii) mark this logical representation with multidimensional concepts, and (iii) derive a conceptual multidimensional model from the marked model.

Index Terms:
MDA, reverse engineering, data warehouse, multidimensional modeling   

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