What you will learn

• Production-grade workflows require proactive failure handling strategies, not reactive troubleshooting approaches.

• Parameterization and configuration management are essential for workflow reusability across different environments and datasets.

• Task dependency design and SLA monitoring form the foundation of reliable data pipeline operations.

• Robust workflow architecture prevents downstream business disruptions and reduces operational overhead.