Implementing Multidimensional Data Warehouses into NoSQL

Chevalier, Max, El Malki, Mohammed, Kopliku, Arlind, Teste, Olivier and Tournier, Ronan (2015) Implementing Multidimensional Data Warehouses into NoSQL. In: 17th International Conference on Enterprise Information Systems (ICEIS 2015) held in conjunction with ENASE 2015 and GISTAM 2015.

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Abstract

Not only SQL (NoSQL) databases are becoming increasingly popular and have some interesting strengths such as scalability and flexibility. In this paper, we investigate on the use of NoSQL systems for implementing OLAP (On-Line Analytical Processing) systems. More precisely, we are interested in instantiating OLAP systems (from the conceptual level to the logical level) and instantiating an aggregation lattice (optimization). We define a set of rules to map star schemas into two NoSQL models: column-oriented and document-oriented. The experimental part is carried out using the reference benchmark TPC. Our experiments show that our rules can effectively instantiate such systems (star schema and lattice). We also analyze differences between the two NoSQL systems considered. In our experiments, HBase (column-oriented) happens to be faster than MongoDB (document-oriented) in terms of loading time.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2015
Uncontrolled Keywords: NoSQL - OLAP - Column-oriented modeling - Document-oriented modeling - Multidimensional modeling - Data warehouse
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 01 Apr 2019 01:51
Last Modified: 01 Apr 2019 01:51
URI: http://publications.ut-capitole.fr/id/eprint/29466

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