Big data feature mining in cloud computing environment is the basis for big data statistics and analysis. In order to improve the accuracy and speed of clustering, a data mining scheme based on distributed Hadoop platform and entropy weighted feature selection was designed in this paper. This scheme firstly uses the noloop directed graph to analyze the problem of Map Reduce job stream scheduling under Hadoop platform, and then uses the parallel Map Reduce execution to complete the distributed computing. Finally, massive data mining is implemented by using the entropy weighted clustering algorithm. Simulation results show that the proposed data mining scheme has good clustering effect and operation efficiency.