Document-oriented data warehouses: models and extended cuboids

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2016
Uncontrolled Keywords: OLAP cuboid - NoSQL - Document-oriented system - Big data warehouse
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 01 Apr 2019 01:09
Last Modified: 01 Apr 2019 01:09
URI: http://publications.ut-capitole.fr/id/eprint/28808

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