The article makes a review of big data technologies in civil aircraft health diagnosis. Parallel clustering analysis could get the basic characteristic of parallel computer to form a computing module of the historical data. The parameter field technology plays an important role in finding valuable parameters in a large number of aircraft parameters. In the actual application process, we will meet with all kinds of complex faults expressed by nonlinear functions. In order to make sure the nonlinear functions, the big data will be used to find out the quantization relationships. For the cascade failure caused by some part’s failure, visualization data mining is used to figure the data, combined with human sense of vision to reinforce the result of data mining.