Data Mesh After the Hype: Why Data Products Matter More Than Ever
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Arif Wider & Kris Peeters
Why Data Products outlasted Data Mesh, where Data Contracts fit, and how AI is changing modern data architecture.
Many organisations started a Data Mesh transformation. Far fewer completed one successfully.
In this episode of The Data Playbook Podcast, Kris Peeters sits down with Arif Wider, professor, consultant and one of the early practitioners who helped shape Data Mesh from its earliest days at ThoughtWorks.
Together they discuss why many Data Mesh initiatives struggled, why Data Products have become the practical entry point for modern data organisations, and how Data Contracts help teams build reusable, reliable data services.
The conversation also explores legacy data warehouses, decentralised ownership, cross-company data sharing, and the impact AI agents will have on software engineering and data teams.
In this episode
Why Data Mesh became difficult for many organisations
Why Data Products are easier to adopt
When a dataset deserves to become a Data Product
How Data Contracts improve collaboration
Migrating legacy data warehouses without a big-bang rewrite
Inter-organisational Data Mesh
AI agents and the future of software engineering
What tomorrow's data engineers need to learn
Whether we lead a data platform, manage data teams, or define enterprise architecture, this conversation offers practical guidance grounded in real implementation experience.
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