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|Data has become fundamental to every business process and research area like never before. To date, one of the main open points of research activities is to manage the data acquired in the field by sensors, logs etc by modeling the data structures according to the analyzes that will be carried out. In fact, with the advent of Big Data, the need to have a single reference data structure has been reduced, but with modern architectures there is a tendency to generate specific and optimized data structures for the analyzes that will be carried out. In this work we propose an agile data modeling methodology guided by analytics focused on the management of structured and semi-structured data sources.|
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