Pipeline Orchestration, Reliability & Testing

О курсе

Learn how to orchestrate, automate, and ensure the reliability of data pipelines through this advanced course in the Data Engineering Skill Path. You will develop essential competencies including scheduling and operationalizing pipelines, monitoring pipeline health, optimizing ETL performance, implementing data validation and automated tests, troubleshooting failures using logs and system data, and designing fault-tolerant workflows. Through hands-on work with Apache Airflow, Linux automation, Google ETL validation frameworks, and IBM lifecycle tools, you will learn to build robust pipelines that operate reliably in production environments. This course integrates expertise from IBM and Google, giving you multiple perspectives on orchestration, system diagnostics, performance optimization, and pipeline-level testing. You will progress from foundational pipeline operations to implementing automated monitoring, quality checks, error-handling logic, and resilience patterns. The curriculum blends conceptual understanding with real-world exercises to help you strengthen operational readiness and reliability engineering skills. Perfect for emerging data engineers and practitioners seeking deeper expertise in pipeline orchestration, monitoring, testing, and troubleshooting across complex data ecosystems.

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