Data Fabric

An architecture approach that connects distributed data through metadata, automation, integration, governance, and reusable data services.

Why it matters

Data Fabric helps data teams design systems that are reliable, understandable, governable, and efficient at scale.

Design considerations

• Define ownership, contracts, and expected consumers.
• Make failure, replay, compatibility, and observability behavior explicit.
• Measure quality, freshness, cost, and operational burden rather than optimizing only throughput.