Abstract
In this paper we discuss what current multidimensional design approaches provide and which are their major flaws. Our contribution lays in a comprehensive framework that does not focus on how these approaches work but what they do provide for usage in real data warehouse projects. So that, we do not aim at comparing current approaches but set up a framework (based on four criteria: the role played by end-user requirements and data sources, the degree of automation achieved and the quality of the output produced) highlighting their drawbacks, and the need for further research on this area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Annoni, E., Ravat, F., Teste, O., Zurfluh, G.: Towards multidimensional requirement design. In: DaWaK 2006. LNCS, vol. 4081, pp. 75–84. Springer, Heidelberg (2006)
Böhnlein, M., vom Ende, A.U.: Deriving Initial Data Warehouse Structures from the Conceptual Data Models of the Underlying Operational Information Systems. In: Proc. of 2nd Int. Wksp on Data Warehousing and OLAP, pp. 15–21. ACM, New York (1999)
Bonifati, A., Cattaneo, F., Ceri, S., Fuggetta, A., Paraboschi, S.: Designing Data Marts for Data Warehouses. ACM Trans. Soft. Eng. Method 10(4), 452–483 (2001)
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)
Giorgini, P., Rizzi, S., Garzetti, M.: Goal-oriented Requirement Analysis for Data Warehouse Design. In: Proc. of 8th Int. Wksp on Data Warehousing and OLAP, pp. 47–56. ACM Press, New York (2005)
Golfarelli, M., Maio, D., Rizzi, S.: The Dimensional Fact Model: A Conceptual Model for Data Warehouses. Int. Journal of Cooperative Information Systems 7(2-3), 215–247 (1998)
Hüsemann, B., Lechtenbörger, J., Vossen, G.: Conceptual Data Warehouse Modeling. In: Proc. of 2nd Int. Wksp on Design and Management of Data Warehouses, p. 6. CEUR-WS.org (2000)
Jensen, M.R., Holmgren, T., Pedersen, T.B.: Discovering Multidimensional Structure in Relational Data. In: Kambayashi, Y., Mohania, M., Wöß, W. (eds.) DaWaK 2004. LNCS, vol. 3181, pp. 138–148. Springer, Heidelberg (2004)
Kimball, R.: The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. John Wiley & Sons, Inc., Chichester (1996)
Kimball, R., Reeves, L., Thornthwaite, W., Ross, M.: The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses. John Wiley & Sons, Inc., Chichester (1998)
Mazón, J., Trujillo, J., Lechtenborger, J.: Reconciling Requirement-Driven Data Warehouses with Data Sources Via Multidimensional Normal Forms. Data & Knowledge Engineering 23(3), 725–751 (2007)
Moody, D., Kortink, M.: From Enterprise Models to Dimensional Models: A Methodology for Data Warehouse and Data Mart Design. In: Proc. of 2nd Int. Wksp on Design and Management of Data Warehouses. CEUR-WS.org (2000)
Nebot, V., Llavori, R.B., Pérez-Martínez, J.M., Aramburu, M.J., Pedersen, T.B.: Multidimensional integrated ontologies: A framework for designing semantic data warehouses. J. Data Semantics 13, 1–36 (2009)
Phipps, C., Davis, K.C.: Automating Data Warehouse Conceptual Schema Design and Evaluation. In: Proc. of 4th Int. Wksp on Design and Management of Data Warehouses., vol. 58, pp. 23–32. CEUR-WS.org (2002)
Prat, N., Akoka, J., Comyn-Wattiau, I.: A UML-based Data Warehouse Design Method. Decision Support Systems 42(3), 1449–1473 (2006)
Romero, O., Abelló, A.: Automatic Validation of Requirements to Support Multidimensional Design. Data & Knowledge Engineering 69(9), 917–942 (2010)
Romero, O., Abelló, A.: A Survey of Multidimensional Modeling Methodologies. Int. J. of Data Warehousing and Mining 5(2), 1–23 (2009)
Romero, O.: Automating the Multidimensional Design of Data Warehouses. Ph.D. thesis, Universitat Politécnica de Catalunya, Barcelona, Spain (2010), http://www.tdx.cat/handle/10803/6670
Romero, O., Abelló, A.: A Framework for Multidimensional Design of Data Warehouses from Ontologies. Data & Knowledge Engineering 69(11), 1138–1157 (2010)
Song, I., Khare, R., Dai, B.: SAMSTAR: A Semi-Automated Lexical Method for Generating STAR Schemas from an ER Diagram. In: Proc. of the 10th Int. Wksp on Data Warehousing and OLAP, pp. 9–16. ACM, New York (2007)
Vrdoljak, B., Banek, M., Rizzi, S.: Designing Web Warehouses from XML Schemas. In: Kambayashi, Y., Mohania, M., Wöß, W. (eds.) DaWaK 2003. LNCS, vol. 2737, pp. 89–98. Springer, Heidelberg (2003)
Winter, R., Strauch, B.: A Method for Demand-Driven Information Requirements Analysis in DW Projects. In: Proc. of 36th Annual Hawaii Int. Conf. on System Sciences, pp. 231–239. IEEE, Los Alamitos (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Romero, O., Abelló, A. (2011). A Comprehensive Framework on Multidimensional Modeling. In: De Troyer, O., Bauzer Medeiros, C., Billen, R., Hallot, P., Simitsis, A., Van Mingroot, H. (eds) Advances in Conceptual Modeling. Recent Developments and New Directions. ER 2011. Lecture Notes in Computer Science, vol 6999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24574-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-24574-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24573-2
Online ISBN: 978-3-642-24574-9
eBook Packages: Computer ScienceComputer Science (R0)