Two years ago, the industry was promised that decentralizing data access through Data Mesh and Data Fabric would cure every organizational bottleneck. Today, the dust has settled, and data teams are living with the operational reality.
​Decentralization solved domain agility, but it introduced new friction: cost sprawl, governance drift, and fragmented access paths—now amplified as teams attempt to feed decentralized data products into AI and analytical workloads.
​In this session, we cut through the architectural theory and look at what decentralization looks like in production today. We will examine how leading engineering teams establish automated data contracts, enforce federated governance without slowing delivery, and design pragmatic access layers that serve both human analysts and automated systems.

In this session, we cut through the architectural theory and look at what decentralization looks like in production today. We will examine how leading engineering teams establish automated data contracts, enforce federated governance without slowing delivery, and design pragmatic access layers that serve both human analysts and automated systems.