1. Document-Oriented Models for Data Warehouses
- Author
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Chevalier, Max, El Malki, Mohammed, Kopliku, Arlind, Teste, Olivier, Tournier, Ronan, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), and Capgemini (FRANCE)
- Subjects
Théorie de l'information ,Big data ,Data warehouse ,Star schema ,InformationSystems_DATABASEMANAGEMENT ,Recherche d'information ,NoSQL ,Document-oriented ,Multidimensional data model ,H- INFORMATIQUE - Abstract
There is an increasing interest in NoSQL (Not Only SQL) systems developed in the area of Big Data as candidates for implementing multidimensional data warehouses due to the capabilities of data structuration/storage they offer. In this paper, we study implementation and modeling issues for data warehousing with document-oriented systems, a class of NoSQL systems. We study four different mappings of the multidimensional conceptual model to document data models. We focus on formalization and cross-model comparison. Experiments go through important features of data warehouses including data loading, OLAP cuboid computation and querying. Document-oriented systems are also compared to relational systems.
- Published
- 2016