Apache Airflow / Basic: definitions, intervals and safe task execution

Apache Airflow β€” Basic: definitions, intervals and safe task execution

Build precise DAG, context, communication and retry contracts.

6 lessons Β· No account required

What you will learn

  • Separate parsing, scheduling and task execution.
  • Choose interval, template, artifact and retry boundaries.

  1. Orchestration, DAGs and architecture

    Separate workflow definitions, scheduled runs and execution components before authoring a pipeline.

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  2. TaskFlow, dependencies and execution context

    Build a small declarative task graph while keeping actual computation inside task execution.

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  3. DAG runs, data intervals and catchup

    Choose a schedule and interval contract that remains correct when a run starts late or is replayed.

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  4. Operators, connections and templates

    Choose an operator contract and render runtime values without mixing configuration, secrets and executable syntax.

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  5. XCom and task data boundaries

    Pass small execution-scoped references while keeping large artifacts and durable evidence under explicit storage contracts.

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  6. Retries, idempotency and failure states

    Design tasks that can repeat safely and interpret orchestration states without confusing them with external outcomes.

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