Design of Data lineage Analysis Framework Based on Multivariate Attribute Fusion

With the advent of the digital age, it has become a consensus that data is an important asset, and it has become a common means to use data platform to manage and analyze data. However, in the process of enterprise data modeling or application, there are often a large number of chain reference relationships (data lineage) between data, which play an important role in data mining. How to construct more abundant data lineage and effectively carry out data lineage analysis has become one of the main challenges in data application and analysis. Therefore, this paper proposes a framework design of data lineage analysis framework based on multivariate attribute fusion. By supplementing the scope of data lineage, three-layer data lineage graphs are constructed to express different levels relationship, and various graph analysis algorithms are used to predict data lineage and reason to complete data lineage graphs, which can effectively support richer and more accurate data consanguinity applications.