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In order to make the network data applications broader, more to improve the precision of the network data storage and management, reduce the time of the network data processing and control, need to study of network data. The current network data research method is to adopt more major Hadoop infrastructure of network data, the data is stored in the safe storage index is set, do not have access to data security storage index weight and the low data storage security performance, network problems such as big data research accuracy deviation. For this, put forward a kind of big data based on cloud computing and Internet of things network research methods. This method firstly using hierarchical network coding for network data transmission, based on the transmission of data, the calculation of CRC algorithm was adopted to realize network data, and then based on the data packet storage way for storage, the hierarchical reverse superposition method is used to analyse the network data precision query, thus completing the study of network data. The experimental results show that the proposed method can comprehensively and concretely study of network data, improves the precision of data processing and network data computing speed, increased the network data storage capacity and query efficiency, reduces the network data presented.according to the runtime, expanded the scope of the operation of network data, large data for subsequent network research provides a strong basis.