Research and design of Metadata management system of Party Building Information in universities based on Big data

At present, there is still a lack of clear understanding of the underlying logic and development picture of the application of big data technology embedded in university party building. The prescriptive requirements and main trends of Party building in colleges and universities should be concentrated in the aspects of building intelligent innovation, strengthening the leadership of the Party, strengthening political construction, applying new technologies and building system. This paper establishes a rule-driven design for the metadata of Party building information in colleges and universities based on big data, and designs different rules for each requirement of the client and background server through classification. Specifically, there are interface display rules, storage rules, query rules, data item rules, etc. These rules are recorded in the corresponding rule files, which are analyzed by a unified rule parser when the system is running. Get the data characteristics of the corresponding function.