Research on Cross-Domain Data Integration Architecture Based on Data Fabric
Wei Qu (),
Zhenji Zhang () and
DaQing Gong ()
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Wei Qu: Beijing Jiaotong University
Zhenji Zhang: Beijing Jiaotong University
DaQing Gong: Beijing Jiaotong University
A chapter in LISS 2023, 2024, pp 737-745 from Springer
Abstract:
Abstract With the rapid development of the global digital economy, data has become an important fundamental strategic resource for countries. However, the issues of data access, sharing, and usage are becoming increasingly prominent. How to effectively integrate cross domain and cross platform data resources has become an important prerequisite for reflecting the value of data. Aiming at the current problems faced by crossed domain data integration, this paper constructs a crossed domain data integration architecture based on the concept of data fabric, including data source layer, data directory layer, Knowledge Graph layer, data integration layer and data application layer. Elaborated on the roles, capabilities, and core technologies of each level, proposed key technologies that need to be broken through, and provided a theoretical basis and reference architecture for the practical application of cross domain data integration.
Keywords: digital economy; data fabric; data integration (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-97-4045-1_57
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DOI: 10.1007/978-981-97-4045-1_57
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