NoSQL Graph-based OLAP Analysis - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2014

NoSQL Graph-based OLAP Analysis


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.
Fichier principal
Vignette du fichier
lirmm-01471093v1.pdf (520.79 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

lirmm-01471093 , version 1 (01-11-2019)



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⟩
490 View
589 Download



Gmail Mastodon Facebook X LinkedIn More