The Complete Course of Apache Airflow 2024

سرفصل های دوره

Learn Apache Airflow in a Professional way. Become an expert in Data Pipelines and Workflows, from ZERO to HERO!

1. Introduction to Apache Airflow

1. Welcome to the course

2. Introduction to Apache Airflow

3. Understanding DAGs (Directed Acyclic Graphs) and operators

2. Apache Airflow Architecture

1. Components of Apache Airflow Scheduler, Executor, Metadata Database, Web Server

2. Understanding the role of each component in workflow orchestration

3. Installation and Setup

1. Installing Apache Airflow using different methods (e.g., pip, Docker)-1

2. Installing Apache Airflow using different methods (e.g., pip, Docker)-2

3. Exploring Airflows web interface

4. Writing and Managing DAGs

1. Understanding DAGs in detail

2. How to Write DAGs

3. Best practices for organizing and managing DAG code

4. How to Write DAGs Assignment

5. Operators and Executors

1. Understanding Executors

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

3. Operators and Executors Assignment

6. Monitoring and Logging

1. Monitoring DAG runs and task statuses

2. Monitoring and Logging Assignment

7. Scaling and High Availability

1. Scaling Airflow horizontally and vertically

2. Configuring High Availability (HA) setups for production deployments-1

3. Configuring High Availability (HA) setups for production deployments-2

8. Advanced Features and Integrations

1. Working with sensors for external triggers and dependencies

2. Integrating Airflow with external systems

9. Testing and Debugging

1. Writing unit tests for DAGs and tasks

2. Deployment and Best Practices

3. Practical Assignment

10. Designing and implementing a real-world workflow using Apache Airflow

1. Final Project-1

2. Final Project-2

3. Final Project-3

4. Final Project-4

5. Final Project-5

6. Course Closure

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تولید کننده: Udemy