Extension of OLAP Operators to the Multiversion Data Warehouse context

Mourad Hsan (1) , Ines Zouari (2) , Faiza Ghozzi (2) , Rafik Bouaziz (2)

1 EBDA (Equipe de recherche en Bases de Données Avancée)
2 MIRACL - Multimedia, InfoRmation systems and Advanced Computing Laboratory

A Data Warehouse (DW) stores data coming from heterogeneous data sources at decisional ends. To query the stored data, there are specific operators, called OLAP operators which facilitate the analysis and the visualization of data. However, these operators, as they are defined in classic DW context, do not allow querying a MultiVersion Data Warehouse (MVDW) which takes account of the evolutions which can affect the members of dimension and/or the DW schema components. In order to appropriately analyze multiversion data, an extension to the traditional OLAP operator is required. In this paper, we propose a MVDW query language called MVOLAP. To this end, we extend the classic OLAP operators to adapt them to the MVDW context.

Mots clés: multiversion; Data Warehouse; OLAP Operators; Multidimensional Table

Domaines: Base de données [cs.DB]

Mourad Hsan, Ines Zouari, Faiza Ghozzi, Rafik Bouaziz. Extension of OLAP Operators to the Multiversion Data Warehouse context. he International Arab Conference on Information Technology (ACIT), Dec 2010, Benghazi, Libya. ⟨hal-00705102⟩