  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.
