Skip to Main content Skip to Navigation
Conference papers

NoSQL Graph-based OLAP Analysis

Arnaud Castelltort 1 Anne Laurent 1
1 FADO - Fuzziness, Alignments, Data & Ontologies
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [24 references]  Display  Hide  Download
Contributor : Anne Laurent <>
Submitted on : Friday, November 1, 2019 - 6:15:57 PM
Last modification on : Thursday, November 5, 2020 - 3:32:02 PM
Long-term archiving on: : Sunday, February 2, 2020 - 1:11:17 PM


Files produced by the author(s)




Arnaud Castelltort, Anne Laurent. NoSQL Graph-based OLAP Analysis. KDIR: Knowledge Discovery and Information Retrieval, Oct 2014, Rome, Italy. pp.217-224, ⟨10.5220/0005072902170224⟩. ⟨lirmm-01471093⟩



Record views


Files downloads