NoSQL Graph-based OLAP Analysis

Abstract : OLAP is a leading technology for analysing data and decision making. It helps the users to discover relevant information from large databases. Graph OLAP has been studied for several years in the OLAP framework. In existing work, the authors study how to import graph data into OLAP cube models but no work has explored yet the feasability to exploit graph structures to store analytical data. As graph databases are more and more used through NoSQL implementations (e.g., social and biological networks), in this paper we aim at providing an original model for managing cubes into NoSQL graphs. We show how cubes can be represented in graphs and how these structures can then be used for graph OLAP queries to support decision making.
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Communication dans un congrès
KDIR: Knowledge Discovery and Information Retrieval, 2014, Rome, Italy. Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014), 1, pp.217-224, 2014, 〈10.5220/0005072902170224〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01471093
Contributeur : Anne Laurent <>
Soumis le : samedi 18 février 2017 - 19:12:43
Dernière modification le : jeudi 24 mai 2018 - 15:59:21

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Arnaud Castelltort, Anne Laurent. NoSQL Graph-based OLAP Analysis. KDIR: Knowledge Discovery and Information Retrieval, 2014, Rome, Italy. Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014), 1, pp.217-224, 2014, 〈10.5220/0005072902170224〉. 〈lirmm-01471093〉

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