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