Orchestrate & Recover Real-Time Data Pipelines
Building a data pipeline is easy. Building one that automatically recovers from failures, maintains data integrity during outages, and runs reliably in production—that's what separates junior engineers from platform architects.
This course teaches you to design self-healing pipelines with automated recovery, fault tolerance, and disaster recovery built in from day one. You'll learn to build and schedule streaming workflows using modern orchestrators like Airflow and Prefect, implement reliability patterns including idempotence, checkpointing, and dead-letter queues for exactly-once-ish process…
Watch on Coursera ↗
(saves to browser)
DeepCamp AI