In a data‑driven organization, a reliable data foundation is critical for analytics, reporting, and AI‑driven decision‑making. As data flows become more complex, the need for structured data observability increases: continuously monitoring anomalies, job execution, data reliability, and the overall health of the data platform.
In this session, we show how Microsoft Fabric delivers an end‑to‑end observability experience with integrated monitoring across pipelines, jobs and OneLake. Through real‑world examples, we demonstrate how organizations detect anomalies earlier, monitor job behavior, gain insight into data movement across OneLake and prevent data loss before it impacts consumers.
After this session, you will not only understand what data observability is, but more importantly, how to apply it to professionalize your data platform, reduce operational risk and accelerate innovation with Microsoft Fabric.