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.

翻译：从海量信息中提取有价值的洞见是一个关键过程，涉及数据的采集、存储、管理、分析和可视化。为数据分析应用提供抽象概述至关重要，以确保收集的数据能转化为有意义的信息。实现此目标的有效方法之一是通过数据架构。本文分享了我们在利用DAT为数据驱动型智慧城市应用开发基于模型驱动的数据分析架构（DAA）方面的经验。