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In response to the problem of decentralized management and insufficient utilization of launch vehicle test data, a data warehouse technology is proposed to organize and store the launch data of rockets, achieving deep exploration of the value of rocket data. According to the characteristics of launch vehicle data, six levels of framework design are proposed: data warehouse foundation layer, source data layer, data interaction layer, data architecture layer, application layer, and display layer; Cleaning and loading data from different sources and formats by design data cleaning rules for rocket data analysis and fault diagnosis; Explored the direction of rocket data application and designed data analysis modules such as envelope analysis, correlation analysis, and fault diagnosis. The validation was conducted using launch data from a certain type of rocket, and the results showed that the data warehouse solution was feasible and laid the foundation for the continuous management and analysis of rocket data in the future.