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Course Outline
Recap of Apache Airflow Fundamentals
- Core concepts: DAGs, operators, and execution flow.
- Airflow architecture and components.
- Understanding advanced use cases and workflows.
Creating Custom Operators
- Understanding the anatomy of an Airflow operator.
- Developing custom operators for specific tasks.
- Testing and debugging custom operators.
Custom Hooks and Sensors
- Implementing hooks for external system integration.
- Creating sensors for monitoring external triggers.
- Enhancing workflow interactivity with custom sensors.
Developing Airflow Plugins
- Understanding the plugin architecture.
- Designing plugins to extend Airflow functionality.
- Best practices for managing and deploying plugins.
Integrating Airflow with External Systems
- Connecting Airflow to databases, APIs, and cloud services.
- Using Airflow for ETL workflows and real-time data processing.
- Managing dependencies between Airflow and external systems.
Advanced Debugging and Monitoring
- Using Airflow logs and metrics for troubleshooting.
- Configuring alerts and notifications for workflow issues.
- Leveraging external monitoring tools with Airflow.
Optimizing Performance and Scalability
- Scaling Airflow with Celery and Kubernetes Executors.
- Optimizing resource utilization in complex workflows.
- Strategies for high availability and fault tolerance.
Case Studies and Real-World Applications
- Exploring advanced use cases in data engineering and DevOps.
- Case study: Custom operator implementation for large-scale ETL.
- Best practices for managing enterprise-level workflows.
Summary and Next Steps
Requirements
- A strong understanding of Apache Airflow fundamentals, including DAGs, operators, and execution architecture.
- Proficiency in Python programming.
- Experience with integrating data systems and workflow orchestration.
Audience
- Data engineers.
- DevOps engineers.
- Software architects.
21 Hours
Testimonials (1)
The instructor adapted the training to the participants’ level and responded to all questions. He was very communicative, and it was easy to interact with him. I really appreciated the format of the training, which included many practical exercises. Overall, it was a very engaging and well-organized session.
