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With the development of big data technology, how to store and process various types of civil aircraft operation support data to meet the data needs of enterprise users has become one of the key factors for major manufacturers to carry out digital transformation and gain insight into corporate profits and value-added. The traditional database or data warehouse model for main manufacturer data cannot meet the exponential growth of aviation operation data. Data management standards and formats differ greatly, and different users cannot quickly obtain useful information, resulting in "enterprise data islands". This paper conducts a Lambda-based operation support data lake system design method. Firstly, the concept and characteristics of the data lake are introduced. Then, the architecture design ideas and technical implementation methods of the Lambda-based operation support data lake system are introduced. The system functions are designed in accordance with the service requirements of operating and supporting the data lake. Based on Angular, Spring Boot, etc., a civil aircraft operation support data lake system has been developed to provide support for manufacturers to carry out centralized data management, tap data application value, and realize the digital transformation of enterprises.