automation execution

Data Fabric repackages longstanding enterprise efforts to simplify data access and coordination without creating new architectural authority. Its capabilities echo historical layers of connectivity, integration, semantics, governance, and automation, each with distinct responsibility boundaries. Misinterpreting Data Fabric as a comprehensive architecture risks deferred accountability and trust erosion. This article clarifies what Data Fabric enables, what it does not govern, and why explicit control remains essential for enterprise data management.