MDX LEARN: Learning MDX and Multidimensional Analysis

Brief description

In the NEAT-AMBIENCE project, we address the development of novel and appropriate data management techniques to assist citizens in their daily lives. As data warehouses play a key role in decision making, with MDX LEARN we aim at the development of a framework for teaching and learning MDX, multidimensional analysis and the generarion of synthetic data for an academic data mart.

The idea is to create an educational environment with fictitious data cubes and practical exercises to strengthen training in data analysis and multidimensional modeling, which can be applied in the teaching of subjects on this topic. In the future, this work could be extended to encompass other types of data warehouses or institutions.

Key links

• Source code

Acknowledgments and funding

• Carlos de Vera Sanz (student at the University of Zaragoza) developed a related academic project (TFG — Trabajo Fin de Grado) titled "RAG to facilitate the use of DATUZ and learning about data warehouses" (as well as the associated prototype), supervised by Sergio Ilarri and María Belén Gracia.
• Our research is framed in the R&D project PID2020-113037RB-I00, funded by MICIU/AEI/10.13039/501100011033.
• In addition to the previous project (NEAT-AMBIENCE project), the support of the Department of Science, University and Society of Knowledge of the Government of Aragon (Government of Aragon: COSMOS group; last group reference: T64_23R) is also appreciated.

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