박효재

본 강의는 Apache Airflow의 핵심 메커니즘과 DAG, Operator, Hook, Scheduling, Timezone, 멱등성, Template까지 상세한 이론과 실습으로 구성하여 Airflow가 “왜 이렇게 동작하는가”를 이해하고 스스로 데이터 파이프라인을 설계·디버깅할 수 있게 만드는 실전 중심 Airflow 마스터 과정입니다.

권 철민

Airflow 완벽 가이드 - Part 1

apache-airflow

Data Engineering

데이터 엔지니어링

datapipeline

This course is a practical Airflow master program designed to help you understand "why Airflow works this way" and enable you to design and debug data pipelines on your own. It covers everything from Apache Airflow's core mechanisms to detailed theory and hands-on practice involving DAGs, Operators, Hooks, Scheduling, Timezones, Idempotency, and Templates.

dooleyz3525

입문

초급

중급이상

airflow

orchestration

The Complete Guide to Airflow - Part 1

Course Introduction and Lab Environment Setup

Airflow Fundamental - DAG, Task, Dependency, XCom

Airflow Fundamental - TaskFlow API, retries, Clear, Context, Serialization

Handling Operators and Hooks - Bash, HTTP

Handling Operators and Hooks - SQL (MySQL, PostgreSQL)

Handling Operators and Hooks - S3 (MinIO)

Scheduling - Interval-based, Timezone, Idempotency Design

Scheduling - catchup, backfill, Cron, Timetable, Point-in-Time based

Templating

In closing...