Extracting valuable insights from vast amounts of information is a critical process that involves acquiring, storing, managing, analyzing, and visualizing data. Providing an abstract overview of data analytics applications is crucial to ensure that collected data is transformed into meaningful information. One effective way of achieving this objective is through Data Architecture. This article shares our experiences in developing a Data Analytics Architecture (DAA) using model-driven engineering for Data-Driven Smart Cities applications utilizing DAT.
@article{arxiv.2307.08870,
title = {Modeling Data Analytics Architecture for Smart Cities Data-Driven Applications using DAT},
author = {Moamin Abughazala and Henry Muccini},
journal= {arXiv preprint arXiv:2307.08870},
year = {2023}
}