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1. Introduction and Local Installation
2. Get Airflow running in Docker
3. Airflow Core Concepts in 5 mins
4. Airflow Task Lifecycle and Basic Architecture
5. Airflow DAG with BashOperator
6. Airflow DAG with PythonOperator and XComs
7. Airflow TaskFlow API
8. Airflow Catchup and Backfill
9. Schedule Airflow DAG with Cron Expression
10. Airflow Connection and PostgresOperator
11. Add Python Dependencies via Airflow Docker Image Extending and Customizing
12. AWS S3 Key Sensor Operator
13. Airflow Hooks S3 PostgreSQL

Here are the steps to take to get airflow 2.0 running with docker on your machine.

1. Clone this repo
2. Create dags, logs and plugins folder inside the project directory

mkdir ./dags ./logs ./plugins

1. Set user permissions for Airflow to your current user

echo -e "AIRFLOW_UID=$(id -u)\nAIRFLOW_GID=0" > .env

1. Install docker desktop application if you don't have docker running on your machine

• Download Docker Desktop Application for Mac OS
• Download Docker Desktop Application for Windows

1. Launch airflow by docker-compose

docker-compose up -d

1. Check the running containers

docker ps

1. Open browser and typehttp://0.0.0.0:8080 to launch the airflow webserver