Four principles of Data Mesh
Reducing the hops between analytical data consumers and data sources.
Applying design thinking for data assets. Encapsulating related code, policies and infrastructure in a cohesive product.
Removing friction and technological complexities from the interaction between data producers and consumers.
Automating data governance policies without a centralized authority.