Orchestrating Data Pipelines in Microsoft Fabric

О курсе

This course focuses on the orchestration, automation, and monitoring of data engineering workflows within Microsoft Fabric. After datasets have been ingested, transformed, and structured for analytics, data engineers must coordinate how those processes run reliably across enterprise environments. Learners examine how Microsoft Fabric pipelines orchestrate multi-step data workflows, automate scheduled processing tasks, and coordinate dependencies between ingestion, transformation, and analytics operations. The course also introduces real-time data engineering concepts through streaming architectures, demonstrating how continuous data sources such as telemetry or operational events can be integrated into Fabric environments. Finally, learners explore monitoring and troubleshooting practices used to maintain reliable data pipelines. By understanding how engineers observe pipeline execution, identify failures, and diagnose performance issues, learners develop the operational skills required to maintain production data engineering systems. By the end of the course, learners understand how Fabric pipelines coordinate complex workflows, how streaming architectures support real-time data processing, and how engineers monitor and troubleshoot data engineering systems in production environments.

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Microsoft

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