[ACP17a] A Four V's Design Approach of NoSQL Graph Databases

Atelier, Poster ou Démonstration dans une Conférence Internationale : ER2017 Workshops - Advances in Conceptual Modeling, November 2017, Vol. 10651, pp.58-68, Series Lecture Notes on Computer Science, Spain,

Mots clés: Forward engineering Big Data NoSQL Graph database 4V’s Model-driven approach Neo4j

Résumé: Big Data has been described as a four-dimensional model with Volume, Variety, Velocity, and Veracity. In this paper we discuss the potential of a model-driven approach (MDA) to tackle design issues of Big Data taking into account the effect of the four dimensions. Our approach considers NoSQL graph databases. The approach is applied to the case of Neo4j database. Our main contribution is an MDA methodology that enables to tackle the four V’s dimensions described above. It consists of two major steps: (i) a forward engineering approach based on MDA as well as a set of transformations rules enabling the development of a conceptual, logical, and physical model for big data encompassing the four V’s, (ii) a volume-guided approach supporting the generation of test bases dedicated to performance evaluation. We present an illustrative scenario of our forward engineering approach.


@inproceedings {
title="{A Four V's Design Approach of NoSQL Graph Databases}",
author=" J. Akoka and I. Comyn-Wattiau and N. Prat ",
booktitle="{ ER2017 Workshops - Advances in Conceptual Modeling}",
series="Lecture Notes on Computer Science",
address=" Spain",