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Along with the enhancement of the degree of industry and social information, the degree of automation in every field is higher and higher, and the massive data of large scale and super large scale emerge as the times require and present the features of big data.SThese massive amounts of data in the promotion of industry development momentum play an important role, at the same time, brings a huge challenge - data usability issues.SIn order to identify the invaluable information and dig out the valuable information benefit to the development of related fields from the massive data, it is necessary to analyze the data. Data preprocessing technique can greatly reduce the amount of analysis data and improve the processing efficiency of data analysis, and attribute reduction in data preprocessing is an important link. On the basis of analyzing the properties of large data, systematically analyzes the current several mainstream attribute reduction algorithm, and analyzes the performance of each algorithm, then, according to the results of the comparison, forecast the future research work in the field of attribute reduction.