Elasticsearch-based heterogeneous data migration method of enterprise information system

Abstract

With the continuous promotion and innovation of information technology and application, the governments all around the world begin to build their own data information management system and try to accelerate the implementation of domestic independent iterative upgrade, in which the data migration becomes vitally important to the success of such process. In this paper, we rely on using the dynamic mapping, distributed extensibility and unstructured data processing capabilities of the distributed full-text retrieval framework Elasticsearch, and then propose a heterogeneous data migration method, which can solve the shortcomings of traditional methods that are usually used to process isomorphism data. The application of this method not only meets the needs of the physical migration of historical data to the homemade autonomous controllable ecology, but also supports the more flexible and secondary use of the historical heterogeneous data.