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In recent years, with the rapid development of Internet technology in our country development of further research and large-scale network computing platform, YunPing audience data processing, has become the main way of massive data. However, the existing cloud computing platform in abnormal huge amounts of data into state, often appear logical error, loss of data link integrity, data, solve the problem of a can to effectively detect the abnormal data processing, seriously affect the accuracy of cloud computing platform data operation. According to the above problem, a Hadoop cloud computing platform of abnormal data detection algorithm research methods. By screening JNS data collection module, the algorithm logic compensation module and dynamic feedback module to the existing problems of cloud computing platform, targeted to solve. Through the simulation experiment proves that the Hadoop cloud computing platform of abnormal data detection algorithm research method, has high recognition rate anomaly data, high accuracy, fast speed, strong practical, good stability characteristics.