Towards Automating Federated Data Governance
Arif Wider, Katharine Jarmul, Atif Akhtar · 2024
Recently several approaches to federated data governance and decentralized data operations have been proposed. Data mesh, one of the most prominent of these approaches, specifically targets how to automate and scale governance at large organizations. Governance tasks, such as ensuring data protection compliance, are notoriously challenging to automate. This paper proposes new ways to verify data declassification via contract-based methods. The design benefits from compositional characteristics of data mesh and builds upon existing contract-testing solutions from the microservices domain.