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.
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
Why is this building block relevant?
- Platform for orchestrating, scheduling and monitoring workflows and data pipelines using Python DAGs.
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