The data architecture conversation is dominated by Data Mesh (“decentralize ownership!”) and Lakehouse (“centralize storage!”). They’re often presented as opposing camps. They’re not.
Lakehouse is a technical pattern: a single storage layer (cloud object store) supporting both data lake (raw) and data warehouse (structured) workloads. It’s an evolution of the data platform.
Data Mesh is an operating-model pattern: domain teams own their data products end-to-end. It’s an evolution of who owns what.
Lakehouse storage + Data Mesh ownership. Technical pattern handles the storage + processing layer. Operating-model pattern handles the human + accountability layer. Most successful deployments combine both — even if neither vendor sells it that way.
Don’t pick a religion. Combine the patterns.
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