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洞见是一个关键过程，涉及数据获取、存储、管理、分析和可视化。提供数据分析应用的抽象概览对于确保采集数据转化为有意义信息至关重要。实现这一目标的有效途径之一是通过数据架构。本文分享了我们在利用DAT开发基于模型驱动的数据驱动型智慧城市应用数据分析架构（DAA）方面的实践经验。