Elasticsearch-based heterogeneous data migration method of enterprise information system

Chang Su; Shanqi Zheng; Donghui Tong; Lisha Zhang; Zhiyong Chen

doi:10.1117/12.2667764

8 March 2023 Elasticsearch-based heterogeneous data migration method of enterprise information system

Chang Su, Shanqi Zheng, Donghui Tong, Lisha Zhang, Zhiyong Chen

Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 1258607 (2023) https://doi.org/10.1117/12.2667764
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China

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.

Citation Download Citation

Chang Su, Shanqi Zheng, Donghui Tong, Lisha Zhang, and Zhiyong Chen "Elasticsearch-based heterogeneous data migration method of enterprise information system", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 1258607 (8 March 2023); https://doi.org/10.1117/12.2667764

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