Automating Federated Data Governance With Sharer-Driven Data Contracts
Data Mesh Live - Talk (50min)
- Speakers
Arif Wider
- Date
- Description
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. Because in a data mesh, a data landscape is decomposed into smaller data products, we can make use of their compositional nature. We extend the technique of consumer-driven contracts (CDCs) known from microservices, to enable data sharers to define testable constraints on how data can be reshared (sharer-driven contracts, SDCs). By designing data infrastructure platform features to support SDCs, such sharing constraints (e.g., only with proper declassification, anonymisation, encryption, etc.) can be automatically verified.
About Arif Wider
Arif Wider is a professor of software engineering in Berlin, Germany, and a principal technology consultant with Thoughtworks, where he served as Head of Data & AI before moving back to academia. As a vital part of his research, teaching, and consulting, he is passionate about distilling and distributing great ideas and concepts that emerge in the software engineering community. He therefore frequently speaks and writes about technology but enjoys nothing more than bringing together people with diverse backgrounds and areas of expertise.