Skip to main content

A Set of QVT Relations to Assure the Correctness of Data Warehouses by Using Multidimensional Normal Forms

  • Conference paper
Conceptual Modeling - ER 2006 (ER 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4215))

Included in the following conference series:

Abstract

It is widely accepted that a requirement analysis phase is necessary to develop data warehouses (DWs) which adequately represent the information needs of DW users. Moreover, since the DW integrates the information provided by data sources, it is also crucial to take these sources into account throughout the development process to obtain a consistent representation. In this paper, we use multidimensional normal forms to define a set of Query/View/Transformation (QVT) relations to assure that the DW designed from user requirements agrees with the available data sources that will populate the DW. Thus, we propose a hybrid approach to develop DWs, i.e., we firstly obtain the conceptual schema of the DW from user requirements and then we verify and enforce its correctness against data sources by using a set of QVT relations based on multidimensional normal forms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Inmon, W.: Building the Data Warehouse. Wiley, Chichester (2002)

    Google Scholar 

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

    Google Scholar 

  3. 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 

  4. Cabibbo, L., Torlone, R.: A logical approach to multidimensional databases. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 183–197. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  5. Hüsemann, B., Lechtenbörger, J., Vossen, G.: Conceptual data warehouse modeling. In: Jeusfeld, M.A., Shu, H., Staudt, M., Vossen, G. (eds.) DMDW, CEUR Workshop Proceedings, CEUR-WS.org., vol. 28, p. 6 (2000)

    Google Scholar 

  6. Lechtenbörger, J., Vossen, G.: Multidimensional normal forms for data warehouse design. Inf. Syst. 28(5), 415–434 (2003)

    Article  MATH  Google Scholar 

  7. Winter, R., Strauch, B.: A method for demand-driven information requirements analysis in data warehousing projects. In: HICSS, p. 231 (2003)

    Google Scholar 

  8. Prakash, N., Singh, Y., Gosain, A.: Informational scenarios for data warehouse requirements elicitation. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 205–216. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Mazón, J.N., Trujillo, J., Serrano, M., Piattini, M.: Designing data warehouses: from business requirement analysis to multidimensional modeling. In: Cox, K., Dubois, E., Pigneur, Y., Bleistein, S.J., Verner, J., Davis, A.M., Wieringa, R. (eds.) REBNITA, pp. 44–53. University of New South Wales Press (2005)

    Google Scholar 

  10. Giorgini, P., Rizzi, S., Garzetti, M.: Goal-oriented requirement analysis for data warehouse design. In: DOLAP, pp. 47–56 (2005)

    Google Scholar 

  11. Object Management Group: MDA Guide 1.0.1, http://www.omg.org/cgi-bin/doc?omg/03-06-01 (visited January 2006)

  12. Mazón, J.N., Trujillo, J., Serrano, M., Piattini, M.: Applying MDA to the development of data warehouses. In: DOLAP, pp. 57–66 (2005)

    Google Scholar 

  13. Luján-Mora, S., Trujillo, J., Song, I.Y.: A UML profile for multidimensional modeling in data warehouses. Data & Knowledge Engineering (in press, 2006)

    Google Scholar 

  14. Lehner, W., Albrecht, J., Wedekind, H.: Normal forms for multidimensional databases. In: Rafanelli, M., Jarke, M. (eds.) SSDBM, pp. 63–72. IEEE Computer Society, Los Alamitos (1998)

    Google Scholar 

  15. Tryfona, N., Busborg, F., Christiansen, J.G.B.: starER: A conceptual model for data warehouse design. In: DOLAP, pp. 3–8. ACM, New York (1999)

    Google Scholar 

  16. Object Management Group: MOF 2.0 Query/View/Transformation, http://www.omg.org/cgi-bin/doc?ptc/2005-11-01 (visited January 2006)

  17. Bernstein, P.A.: Synthesizing third normal form relations from functional dependencies. ACM Trans. Database Syst. 1(4), 277–298 (1976)

    Article  Google Scholar 

  18. Object Management Group: Common Warehouse Metamodel Specification 1.1., http://www.omg.org/cgi-bin/doc?formal/03-03-02 (visited January 2006)

  19. Mellor, S., Scott, K., Uhl, A., Weise, D.: MDA distilled: principles of Model-Driven Architecture. Addison-Wesley, Reading (2004)

    Google Scholar 

  20. Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. VLDB J 10(4), 334–350 (2001)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mazón, JN., Trujillo, J., Lechtenbörger, J. (2006). A Set of QVT Relations to Assure the Correctness of Data Warehouses by Using Multidimensional Normal Forms. In: Embley, D.W., Olivé, A., Ram, S. (eds) Conceptual Modeling - ER 2006. ER 2006. Lecture Notes in Computer Science, vol 4215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11901181_29

Download citation

  • DOI: https://doi.org/10.1007/11901181_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47224-7

  • Online ISBN: 978-3-540-47227-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics