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Implementing Multidimensional Data Warehouses into NoSQL

Chevalier, Max and El Malki, Mohammed and Kopliku, Arlind and Teste, Olivier and Tournier, Ronan Implementing Multidimensional Data Warehouses into NoSQL. (2015) In: 17th International Conference on Enterprise Information Systems (ICEIS 2015) held in conjunction with ENASE 2015 and GISTAM 2015, 27 April 2015 - 30 April 2015 (Barcelona, Spain).

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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)
HAL Id:hal-01387759
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Capgemini (FRANCE)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:05 Oct 2016 08:34

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