This paper systematically examines big data-enabled flight parameter data integration through collection, preprocessing, mining and storage processes, with application cases in flight quality monitoring and aircraft maintenance. Findings highlight the multi-stage fusion workflow and emphasize model-specific data exploitation strategies.