Apache Airflow
How do you industrialize your data workflows with Apache Airflow? From building DAGs to production monitoring, master the market's most widely used orchestrator with sound industrialization practices.
What you'll learn
Understand orchestration and Airflow
Understand the role of an orchestrator, why Airflow became the standard, and master its vocabulary (DAG, DAG run, tasks, operators).
Create and configure DAGs
Build DAGs, manage task dependencies, and configure scheduling, error recovery and historical backfills.
Industrialize your pipelines
Architect your DAG code, use advanced features (sensors, XCom, pooling, branching), and monitor your pipelines in production.
The detailed programme
Eight modules to go from discovering Airflow to industrializing your data pipelines, with hands-on exercises at every step.
Orchestration fundamentals
3h30
Understand the role of an orchestrator, the history of tools on the market, and Airflow's core concepts.
Objectives
- Understand what an orchestrator is and why Airflow became the standard
- Master Airflow vocabulary: DAG, DAG run, task, operator, executor
- Understand Airflow's architecture: scheduler, webserver, metadata database
What's covered
- Role of an orchestrator and history of tools on the market
- Airflow vocabulary: DAG, DAG run, task, operator, executor
- Airflow architecture: scheduler, webserver, metadata database
Your experts
Training investment
1 500,00 €
per participant
9 000,00 €
per session
Fund your training through an OPCO
As a Qualiopi-certified training provider, the courses we offer can be funded through an OPCO (the French vocational-training funding body). Find which OPCO you depend on here.
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