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The cognitive depth of big data service demand and Integration of service architecture would affect the resource management and service quality of big data application, the heterogeneous fusion mechanism with SOA collaboration integration based on big data service deep requirements was proposed in this paper. On the one hand, based on the analysis of big data source diversification, differentiation of big data organization and storage methods, open big data service context and the mapping relation between contexts set associative matching and big data service analysis, the demand analysis model of big data service is established according to the different needs of different types of users. On the other hand, for the mobile Internet Heterogeneous data services association, through structured and open treatment, given the big data communication and service description definition, a SOA collaborative heterogeneous system integration architecture was proposed. The simulation results show that the proposed algorithm has obvious advantages in terms of the success rate, execution time and cost ratio of large data services.