English

Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches

Databases 2023-07-06 v1 Artificial Intelligence Distributed, Parallel, and Cluster Computing Machine Learning

Abstract

Data mesh is a socio-technical approach to decentralized analytics data management. To manage this decentralization efficiently, data mesh relies on automation provided by a self-service data infrastructure platform. A key aspect of this platform is to enable decentralized data governance. Because data mesh is a young approach, there is a lack of coherence in how data mesh concepts are interpreted in the industry, and almost no work on how a data mesh platform facilitates governance. This paper presents a conceptual model of key data mesh concepts and discusses different approaches to drive governance through platform means. The insights presented are drawn from concrete experiences of implementing a fully-functional data mesh platform that can be used as a reference on how to approach data mesh platform development.

Keywords

Cite

@article{arxiv.2307.02357,
  title  = {Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches},
  author = {Arif Wider and Sumedha Verma and Atif Akhtar},
  journal= {arXiv preprint arXiv:2307.02357},
  year   = {2023}
}

Comments

30th International Conference on Web Services, July 2-8, 2023, Chicago, USA