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Research on Cross-Domain Data Integration Architecture Based on Data Fabric

In: Liss 2023

Author

Listed:
  • Wei Qu

    (Beijing Jiaotong University)

  • Zhenji Zhang

    (Beijing Jiaotong University)

  • DaQing Gong

    (Beijing Jiaotong University)

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.

Suggested Citation

  • Wei Qu & Zhenji Zhang & DaQing Gong, 2024. "Research on Cross-Domain Data Integration Architecture Based on Data Fabric," Lecture Notes in Operations Research, in: Daqing Gong & Yixuan Ma & Xiaowen Fu & Juliang Zhang & Xiaopu Shang (ed.), Liss 2023, pages 737-745, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-4045-1_57
    DOI: 10.1007/978-981-97-4045-1_57
    as

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