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Extracting valuable insights from vast amounts of information is a criticalprocess that involves acquiring, storing, managing, analyzing, and visualizingdata. Providing an abstract overview of data analytics applications is crucialto ensure that collected data is transformed into meaningful information. Oneeffective way of achieving this objective is through Data Architecture. Thisarticle shares our experiences in developing a Data Analytics Architecture(DAA) using model-driven engineering for Data-Driven Smart Cities applicationsutilizing DAT.

Modeling Data Analytics Architecture for Smart Cities Data-Driven Applications using DAT