Research And Implementation Of Data Platform Construction Technology For Data Supply Chain

With the advent of the big data era,various data platforms emerge as the times require.When they provide users with a variety of data services,they will generate a large amount of data to be transferred.After these data are stored and saved,a data supply chain is formed,which can be used for data traceability,regulatory data and so on.The main problem to solve in this subject is how to store the flow information in the form of data supply chain.Based on fully investigating the functions of the main data platform and the building technology of data supply chain,this paper proposes a construction program of data supply chain based on the data service,through which the data flow information generated by calling the data service be used to build the platform,cross-platform data supply chain.In order to optimize the data supply chain,we study the recommendation algorithm of data service and construct a better data supply chain by choosing more suitable data service;and based on the above research,using SpringMVC framework to build a data aggregation and service platform.The platform not only includes the basic data functions provided by the main data platform,such as data upload,data download,data service provision and data service invocation,but also includes the data supply chain-building function for data service,applies the data service recommendation algorithm which we propose to the data supply chain construction optimization module.Finally,based on the data platform,this paper tests the construction program of data supply chain based on the data service and the optimization method for constructing chain.After testing,this paper proposes to construct a data supply chain by using different types and sources of data by calling the data service construction chain.The data service recommendation algorithm designed in this paper,through different angle test experiment found that it has better query efficiency and accuracy.