Context - The exponential growth of data is becoming a significant concern. Managing this data has become incredibly challenging, especially when dealing with various sources in different formats and speeds. Moreover, Ensuring data quality has become increasingly crucial for effective decision-making and operational processes. Data Architecture is crucial in describing, collecting, storing, processing, and analyzing data to meet business needs. Providing an abstract view of data-intensive applications is essential to ensure that the data is transformed into valuable information. We must take these challenges seriously to ensure we can effectively manage and use the data to our advantage. Objective - To establish an architecture framework that enables a comprehensive description of the data architecture and effectively streamlines data quality monitoring. Method - The architecture framework utilizes Model Driven Engineering (MDE) techniques. Its backing of data-intensive architecture descriptions empowers with an automated generation for data quality checks. Result - The Framework offers a comprehensive solution for data-intensive applications to model their architecture efficiently and monitor the quality of their data. It automates the entire process and ensures precision and consistency in data. With DAT, architects and analysts gain access to a powerful tool that simplifies their workflow and empowers them to make informed decisions based on reliable data insights. Conclusion - We have evaluated the DAT on more than five cases within various industry domains, demonstrating its exceptional adaptability and effectiveness.

翻译：背景 - 数据的指数级增长正成为一个重要问题。管理这些数据变得极具挑战性，尤其是在处理来自不同来源、不同格式和不同速度的数据时。此外，确保数据质量对于有效的决策和运营流程变得越来越关键。数据架构在描述、收集、存储、处理和分析数据以满足业务需求方面起着至关重要的作用。提供数据密集型应用的抽象视图对于确保数据转化为有价值的信息至关重要。我们必须认真对待这些挑战，以确保能够有效管理和利用数据。目标 - 建立一个架构框架，以实现对数据架构的全面描述，并有效简化数据质量监控。方法 - 该架构框架采用模型驱动工程（MDE）技术。其对数据密集型架构描述的支持使得能够自动生成数据质量检查。结果 - 该框架为数据密集型应用提供了一种全面解决方案，可高效建模其架构并监控数据质量。它自动化了整个流程，并确保了数据的精确性和一致性。借助DAT，架构师和分析师能够使用一个强大工具，简化工作流程，并基于可靠的数据洞察做出明智决策。结论 - 我们已在多个行业领域的五个以上案例中对DAT进行了评估，证明了其卓越的适应性和有效性。