New PDF release: Data Warehousing Design and Advanced Engineering

By Ladjel Bellatreche

ISBN-10: 1605667560

ISBN-13: 9781605667560

Information warehousing and on-line research applied sciences have proven their effectiveness in dealing with and studying a large number of disparate info, attracting a lot recognition from various learn groups. facts Warehousing layout and complicated Engineering functions: tools for advanced development covers the whole strategy of interpreting facts to extract, remodel, load, and deal with the basic elements of an information warehousing procedure. A defining selection of box discoveries, this complex name presents major ideas for these interested by this specific learn group.

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Additional info for Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction (Advances in Data Warehousing and Mining (Adwm))

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R. , & Castro, J. (2002). Enhancing data warehouse design with the NFR framework. In Proceedings of the Workshop em Engenharia de Requisitos, Valencia, Spain (pp. 40-57). Paim, F. R. , & Castro, J. (2003). DWARF: An approach for requirements definition and management of data warehouse systems. In Proceedings of the 11th IEEE International Conference on Requirements Engineering, Monterey Bay, CA, USA (pp. 75-84). Pedersen, T. , & Jensen, C. (1999). Multidimensional data modeling for complex data.

2003). DWARF: An approach for requirements definition and management of data warehouse systems. In Proceedings of the 11th IEEE International Conference on Requirements Engineering, Monterey Bay, CA, USA (pp. 75-84). Pedersen, T. , & Jensen, C. (1999). Multidimensional data modeling for complex data. In Proceedings of the International Conference on Data Engineering, Sydney, Australia (pp. 336345). , & Ruggia, R. (2003). On the applicability of rules to automate data warehouse logical design. In Proceedings of the Decision Systems Engineering Workshop, Klagenfurt, Austria (pp.

1(located): Reconcile(x, y) ∧ located(x, z) ∧ located(y, w) ⇒ Reconcile(z, w) For each attribute A declared as functional by the axiom PF(A), a similar rule which concludes on SynVals is generated. Likewise, analogous rules are generated for each relation R and each attribute A declared as inverse functional. , Pn) of (inverse) functionality. For example, the declaration PFI(paintedBy, paintingName) states a composed functional dependency which expresses that the artist who painted it jointly with its name functionally determines a painting.

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Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction (Advances in Data Warehousing and Mining (Adwm)) by Ladjel Bellatreche


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