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项重大关切。尤其当涉及不同格式和速度的多源数据时，数据管理的难度急剧上升。同时，确保数据质量对于有效决策和运营流程至关重要。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发挥着关键作用。为数据密集型应用提供抽象视图，确保数据转化为有价值的信息，是我们必须认真应对的挑战，以确保有效管理和利用数据优势。目标 - 建立一种架构框架，能够全面描述数据架构并有效简化数据质量监控流程。方法 - 该架构框架采用模型驱动工程（MDE）技术。通过对数据密集型架构描述的支持，框架可自动生成数据质量检查机制。结果 - 该框架为数据密集型应用提供全面解决方案，既能高效建模其架构，又能监控数据质量。通过自动化全流程，确保数据的精确性与一致性。借助DAT，架构师和分析师可获得强大工具，简化工作流程，并基于可靠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评估DAT，验证了其卓越的适应性和有效性。