Apache Airflow
Apache Airflow is a platform to program, schedule and monitor batch workflows and data pipelines. Tasks are defined as Python DAGs and executed, monitored and retried centrally. Airflow is used for ETL, data integration and recurring automation across distributed environments. It supports scaling and integrations with common data platforms.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Reference building block
This building block serves as a structured reference in the knowledge model, with core data, context, and direct relationships.
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
Relations
Connected blocks
Directly linked content elements.