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Towards the Automatic Generation of Analytical End-User Tools Metadata for Data Warehouses

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Sharing Data, Information and Knowledge (BNCOD 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5071))

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Abstract

Multidimensional models are used to obtain the required database metadata for implementing the data warehouse. Surprisingly, current approaches for multidimensional modelling overlook the necessity of additional data-cube metadata to allow end-user tools to query the data warehouse. To overcome this situation, we propose the use of the Model Driven Architecture (MDA) in order to automatically derive both kinds of metadata in a systematic and integrated way.

This work has been partially supported by the ESPIA project (TIN2007-67078) and by the FPU grants AP2006-00332 and AP2005-1360 from the Spanish Ministry of Education and Science, and by the QUASIMODO project (PAC08-0157-0668) from the Castilla-La Mancha Ministry of Education and Science (Spain).

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References

  1. Inmon, W.H.: Building the Data Warehouse. Wiley, Chichester (1996)

    Google Scholar 

  2. Kimball, R., Ross, M.: The Data Warehouse Toolkit. Wiley, Chichester (2002)

    Google Scholar 

  3. Hüsemann, B., Lechtenbörger, J., Vossen, G.: Conceptual data warehouse modeling. In: DMDW, p. 6 (2000)

    Google Scholar 

  4. Golfarelli, M., Maio, D., Rizzi, S.: The Dimensional Fact Model: A Conceptual Model for Data Warehouses. Int. J. Cooperative Inf. Syst. 7(2-3), 215–247 (1998)

    Article  Google Scholar 

  5. Abelló, A., Samos, J., Saltor, F.: YAM2: a multidimensional conceptual model extending UML. Inf. Syst. 31(6), 541–567 (2006)

    Article  Google Scholar 

  6. Prat, N., Akoka, J., Comyn-Wattiau, I.: A UML-based data warehouse design method. Decis. Support Syst. 42(3), 1449–1473 (2006)

    Article  Google Scholar 

  7. Rizzi, S., Abelló, A., Lechtenbörger, J., Trujillo, J.: Research in data warehouse modeling and design: dead or alive? In: DOLAP, pp. 3–10 (2006)

    Google Scholar 

  8. Object Management Group: Catalog of Specifications, http://www.omg.org

  9. Luján-Mora, S., Trujillo, J., Song, I.Y.: A UML profile for multidimensional modeling in data warehouses. Data Knowl. Eng. 59(3), 725–769 (2006)

    Article  Google Scholar 

  10. Mazón, J.N., Trujillo, J.: An MDA approach for the development of data warehouses. Decis. Support Syst. doi: 10.1016/j.dss.2006.12.003, doi: 10.1016/j.dss.2006.12.003

    Google Scholar 

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Alex Gray Keith Jeffery Jianhua Shao

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Pardillo, J., Mazón, JN., Trujillo, J. (2008). Towards the Automatic Generation of Analytical End-User Tools Metadata for Data Warehouses. In: Gray, A., Jeffery, K., Shao, J. (eds) Sharing Data, Information and Knowledge. BNCOD 2008. Lecture Notes in Computer Science, vol 5071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70504-8_22

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  • DOI: https://doi.org/10.1007/978-3-540-70504-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70503-1

  • Online ISBN: 978-3-540-70504-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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