Airflow

1. Introduction to Apache Airflow

   • What is Apache Airflow?

   • Use cases of Airflow

   • Basic concepts (DAG, Operator, Task, etc.)

2. Installation and Setup

   • Installing Airflow

   • Setting up the Airflow environment

3. DAGs in Depth

   • Understanding Directed Acyclic Graphs (DAGs)

   • Creating and scheduling DAGs

   • DAG parameters and variables

4. Operators

   • Understanding different types of operators (BashOperator, PythonOperator, etc.)

   • Creating custom operators

5. Tasks

   • Understanding tasks in Airflow

   • Task dependencies and ordering

   • Task retries and failure handling

6. Airflow UI

   • Navigating the Airflow UI

   • Monitoring and troubleshooting DAGs using the UI

7. Airflow CLI

   • Using the Airflow command-line interface

8. Advanced Topics

   • Dynamic DAGs

   • Using Hooks and Connections

   • Scaling and distributing workflows

9. Best Practices

   • Airflow project structure

   • Testing Airflow workflows

   • Security considerations

10. Integration with Other Tools

    • Integrating Airflow with data processing tools (e.g., Apache Spark)

    • Using Airflow with cloud platforms (e.g., AWS, GCP)