Big data are characterized by four dimensions: Volume, Variety, Velocity, and Veracity. This paper explores the potential of model-driven engineering to tackle design issues of big data taking into account the effect of the four dimensions. Our approach considers NoSQL graph databases and is applied to the case of Neo4j databases. Our main contribution is a methodology based on model-driven engineering that enables to tackle the four V’s described above. The approach is applied to an illustrative scenario. Link to the article
AKOKA, J., COMYN-WATTIAU, I. and PRAT, N. (2017). A four V's design approach of NoSQL graph databases. In: Advances in Conceptual Modeling - Proceedings of ER 2017 Workshops, 6th International Workshop on Modeling and Management of Big Data (MoBiD 2017). Valencia: Springer, pp. 58-68.