A holistic data modeling approach for multi-database systems
Gonçalo Carvalho, Jorge Bernardino, Vasco Pereira, Bruno Cabral · 2021 IEEE International Conference on Big Data (Big Data) · 2021
IoT, edge-oriented systems, and the growing ubiquity of access to the Internet have driven the development of the most complex software systems to date. Designing such systems is demanding due to their distributed nature, different technologies, multi-layer, hard-to-meet quality attributes, and the integration of several databases with diverse technologies. This work proposes a data modeling method able to represent holistically these systems’ data structure, data transport, and transformation.