Data Virtualization Enabling Distributed Data Architectures: Data Fabric and Data Mesh

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Abstract:

Organizations are facing increasing challenges in effectively managing and utilizing data as a strategic asset within the rapidly evolving data landscape. Traditional monolithic data architectures are struggling to keep pace with the heterogeneous nature and high velocity of generated data, making it necessary to explore alternative paradigms. This article investigates the potential of data virtualization as a data integration pattern, discussing its core capabilities and features, as well as its role in enabling distributed data architectures such as data fabric and data mesh. Furthermore, the article provides a comparison of common data integration patterns and highlights the advantages of data virtualization especially in the distributed data architecture.

Citation

Akermi, M., Hadj Taieb, M. A., & Ben Aouicha, M. (2023). Data Virtualization Enabling Distributed Data Architectures: Data Fabric and Data Mesh. International Journal of Computer Information Systems and Industrial Management Applications, 15(2023), 1–12.

@article{Akermi2023b,
  title={Data Virtualization Enabling Distributed Data Architectures: Data Fabric and Data Mesh},
  volume={15},
  ISSN={21507988 (ISSN)},
  number={2023},
  journal={International Journal of Computer Information Systems and Industrial Management Applications},
  publisher={Machine Intelligence Research (MIR) Labs},
  author={Akermi, Montasser and Hadj Taieb, Mohamed Ali and Ben Aouicha, Mohamed},
  year={2023},
  pages={1–12}
}