relation: https://publications.ut-capitole.fr/id/eprint/28808/ title: Document-oriented data warehouses: models and extended cuboids creator: Chevalier, Max creator: El Malki, Mohammed creator: Kopliku, Arlind creator: Teste, Olivier creator: Tournier, Ronan subject: H- INFORMATIQUE description: Within the Big Data trend, there is an increasing interest in Not-only-SQL systems (NoSQL). These systems are promising candidates for implementing data warehouses particularly due to the data structuration/storage possibilities they offer. In this paper, we investigate data warehouse instantiation using a document-oriented system (a special class of NoSQL systems). On the one hand, we analyze several issues including modeling, querying, loading data and OLAP cuboids. We compare document-oriented models (with and without normalization) to analogous relational database models. On the other hand, we suggest improvements in order to benefit from document-oriented features. We focus particularly on extended versions of OLAP cuboids that exploit nesting and arrays. They are shown to work better on workloads with drill-down queries. Research in this direction is new. As existing work focuses on feasibility issues, document-specific implementation features, modeling and cross-model comparison. publisher: INformatique des ORganisations et Systèmes d'Information et de Décision (INFORSID) date: 2016 type: Conference or Workshop Item type: NonPeerReviewed format: text language: fr identifier: https://publications.ut-capitole.fr/id/eprint/28808/1/assistant_14035675_4249522766_0.pdf identifier: Chevalier, Max , El Malki, Mohammed , Kopliku, Arlind , Teste, Olivier and Tournier, Ronan (2016) Document-oriented data warehouses: models and extended cuboids. In: 10th International IEEE Conference on Research Challenges in Information Science (RCIS 2016) co-located witht the 34th French Conference INFORSID. language: en