This course focuses on the operational management, performance optimization, and governance practices required to maintain production data engineering systems within Microsoft Fabric environments.

After pipelines, streaming workflows, and analytics datasets have been implemented, data engineers must ensure that these systems operate efficiently, securely, and reliably within enterprise environments. This requires monitoring system performance, managing platform capacity, implementing security controls, and maintaining data lifecycle policies. Learners explore how engineers optimize data pipeline performance, manage platform resource usage, and implement governance mechanisms that protect data assets while enabling analytics teams to work effectively. The course also examines how enterprise data platforms enforce security and compliance controls through role-based access management, data classification, and governance policies. Finally, learners explore how data lifecycle management practices ensure that datasets remain reliable, secure, and properly maintained throughout their operational lifespan. By the end of the course, learners understand how engineers manage performance, security, governance, and lifecycle policies within Microsoft Fabric environments.