Technical articles, tutorials, and insights
Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring workflows. Core concept: DAGs (Directed Acyclic Graphs) — define task dependencies in Python code, trigger by schedule or data events, monitor every step in the Web UI. Covers four major scenarios: ETL/ELT pipelines, ML training pipelines, scheduled reporting, and infrastructure automation. 46.4k Stars, Apache 2.0, version 3.3.0, 600+ built-in Operators and Providers.