Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/29883

Title: Supply-demand matrix: a process-oriented approach for data warehouses with constellation schemas
Authors: Cavique, Luís
Cavique, Mariana
Santos, Jorge
Keywords: Denormalization forms
Data warehouses
Constellation schemas
Process oriented
Issue Date: 2020
Publisher: Advances in Intelligent Systems and Computing - Springer
Citation: Cavique L., Cavique M., Santos J.M.A. (2020) Supply-Demand Matrix: A Process-Oriented Approach for Data Warehouses with Constellation Schemas. In: Rocha Á., Adeli H., Reis L., Costanzo S., Orovic I., Moreira F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_33 First Online 18 May 2020 DOI: https://doi.org/10.1007/978-3-030-45688-7_33 Springer, Cham Print ISBN 978-3-030-45687-0 Online ISBN 978-3-030-45688-7
Abstract: Star schema in data warehouses is a very well-established model. However, the increasing number of star schemas creating large constellations schemas add new challenges in the organizations. In this document, we intend to make a contribution in the technical architecture of data warehouses with constellation schemas using an extension of the bus matrix. The proposed supply-demand matrix details the raw data from the original databases, describes the constellation schemas with different dimensions and establishes the information demand requirements.
URI: 10.1007/978-3-030-45688-7_33
http://hdl.handle.net/10174/29883
Type: lecture
Appears in Collections:MAT - Comunicações - Em Congressos Científicos Internacionais

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