Research on Federated Learning Data Management Method Based on Data Lake Technology

With the diversified development of data information in the era of big data, the scale of data is also increasing. Due to the multi-source and heterogeneous data characteristics in the information age, the data sources are also more diverse. It is difficult to identify valid data, and data consistency cannot be guaranteed. Based on the above background, we gained a complete understanding of enterprise requirements and challenges after in-depth research on the federated learning data for data lake technology. This paper designs and implem12 -*+ents a data lake federated learning and data management system. Firstly, the application of enterprise big data is analyzed in detail, and the many deficiencies in its sources and query methods are clarified. On this basis, through in-depth customization of the unified query system, based on data lake technology and federated learning technology, the enterprise's multi-heterogeneous data system is re-planned to run stably and reliably and manage enterprise data more efficiently.