Suggesting assess queries for interactive analysis of multidimensional data

Abstract Multi-model DBMSs, which support different data models with a fully integrated backend, have been shown to be beneficial to data warehouses and OLAP systems. Indeed, they can store data according to the multidimensional model and, at the same time, let each of its elements be represented through the most appropriate model. An open challenge in this context is the lack of methods for logical design. Indeed, in a multi-model context, several alternatives emerge for the logical representation of dimensions and facts. The goal of this paper is to devise a set of guidelines for the logical design of multi-model data warehouses so that the designer can achieve the best trade-off between features such as querying, storage, and ETL. To this end, for each model considered (relational, document-based, and graph-based) and for each type of multidimensional element (e.g., non-strict hierarchy) we propose some solutions and carry out a set of intra-model and inter-model comparisons. The resulting guidelines are then tested on a case study that shows all types of multidimensional elements.

Faten El Outa, Patrick Marcel, Veronika Peralta, Raphaël da Silva, Marie Chagnoux, et al.. Suggesting assess queries for interactive analysis of multidimensional data. Advances in Databases and Information Systems, 13389, Springer International Publishing, pp.1-1, 2022, Lecture Notes in Computer Science, ⟨10.1109/TKDE.2022.3171516⟩ - lien externe. ⟨hal-03889877⟩ - lien externe