𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗔𝗽𝗮𝗰𝗵𝗲 𝗔𝗶𝗿𝗳𝗹𝗼𝘄 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀

Published 2026-02-21 in Data Engineering

Apache Airflow is an open-source workflow orchestration tool that enables data engineers to programmatically author, schedule, and monitor data pipelines. It provides a powerful framework for managing dependencies, ensuring data quality, and automating ETL processes. This guide covers key Airflow concepts, including DAGs (Directed Acyclic Graphs), Operators, Tasks, Task Dependencies, Scheduling, XComs, Sensors, Hooks, and Airflow best practices. Understanding these concepts will help data engineers build scalable and efficient data workflows.

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