Ravat, Franck, Song, Jiefu and Teste, Olivier (2015) Analysis Framework for Reduced Data Warehouse. In: 11e Journées Francophones sur les Entrepôts de Données et l'Analyse en ligne (EDA 2015).
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Abstract
Our aim is to define a framework supporting analysis in MDW with reductions. Firstly, we describe a modeling solution for reduced MDW. A schema of reduced MDW is composed of states. Each state is defined as a star schema composed of one fact and its related dimensions valid for a certain period of time. Secondly, we present a multi-state analysis framework. Extensions of classical drilldown and rollup operators are defined to support multi-states analyses. Finally we present a prototype of our framework aiming to prove the feasibility of concept. By implementing our extended operators, the prototype automatically generates appropriate SQL queries over metadata and reduced data.
Item Type: | Conference or Workshop Item (Paper) |
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Language: | English |
Date: | 2015 |
Uncontrolled Keywords: | Multidimensional modelling - OLAP - Reduced data warehouse |
Subjects: | H- INFORMATIQUE |
Divisions: | Institut de Recherche en Informatique de Toulouse |
Site: | UT1 |
Date Deposited: | 26 Mar 2019 13:33 |
Last Modified: | 02 Apr 2021 15:59 |
URI: | https://publications.ut-capitole.fr/id/eprint/29610 |