wshobson/airflow-dag-patterns

프로덕션 환경의 Apache Airflow DAG를 운영자, 센서, 테스트, 배포에 대한 모범 사례를 활용하여 구축합니다. 데이터 파이프라인 생성, 워크플로우 오케스트레이션 또는 배치 작업 스케줄링 시 사용하세요.

airflow-dag-patterns란 무엇인가요?

이 스킬은 Apache Airflow를 사용하여 프로덕션 수준의 DAG(Directed Acyclic Graph)를 설계하고 구현하기 위한 포괄적인 모범 사례와 패턴을 제공합니다. 개발자와 데이터 엔지니어가 운영자(Operators), 센서(Sensors), 테스트, 배포 전반에 걸쳐 확장 가능하고 유지보수 가능하며 효율적인 데이터 파이프라인을 구축할 수 있도록 돕습니다. 또한 다양한 Airflow 컴포넌트의 올바른 사용법, 의존성 관리, 그리고 CI/CD 통합과 같은 실제 배포 시나리오를 다룹니다. Docker 및 가상 환경을 포함한 다양한 실행 환경을 지원하며, 코드 예제와 문서를 통해 복잡한 워크플로우를 간소화하고 안정적인 데이터 처리를 보장합니다.

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Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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wshobson/architecture-patterns

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wshobson/changelog-automation

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