Design and Implementation of Campus Data Governance Platform Based on Big Data Algorithm

With the application and promotion of big data technology in colleges and universities, the problem of data governance has gradually become prominent: many colleges and universities have no overall data standards, lack of data verification, and problem data are constantly deposited, resulting in the failure or even error of big data analysis in supporting leadership decision-making. At the same time, in the smart campus environment, the application system becomes more micro-service and mobile, the pressure of data exchange in the data sharing and exchange platform increases exponentially, and the difficulty and workload of data exchange management by the data management department increase rapidly. The traditional data exchange and sharing platform for data exchange management has become increasingly unsuitable for the new business needs. Universities store a large amount of data resources in teaching, management, and service work, especially with the advent of the big data era. The data volume has increased from MB at the beginning to GB and then to TB. Many universities have reached the $P B$ level of data, and it is easy to reach the $Z B$ level in the near future. Through the investigation and analysis of the data management and application status of a provincial university, this paper proposes an effective solution for campus data governance based on the data center, which improves the data utilization rate and provides a comprehensive and accurate data foundation for the school in information query, intelligent decision-making, data mining, etc.