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Course Outline
Reviewing Apache Airflow Foundations
- Key concepts: DAGs, operators, and execution flows
- Airflow architecture and core components
- Exploring advanced use cases and workflow patterns
Building Custom Operators
- Deconstructing the structure of an Airflow operator
- Creating custom operators for specialized tasks
- Testing strategies and debugging techniques for custom operators
Custom Hooks and Sensors
- Implementing hooks for seamless external system integration
- Developing sensors to monitor external triggers
- Improving workflow responsiveness with custom sensors
Developing Airflow Plugins
- Analyzing the plugin architecture
- Designing plugins to extend Airflow’s capabilities
- Best practices for plugin management and deployment
Integrating Airflow with External Ecosystems
- Linking Airflow to databases, APIs, and cloud services
- Leveraging Airflow for ETL workflows and real-time data processing
- Managing dependencies between Airflow and external systems
Advanced Debugging and Monitoring
- Utilizing Airflow logs and metrics for effective troubleshooting
- Setting up alerts and notifications for workflow anomalies
- Incorporating external monitoring tools alongside Airflow
Performance Optimization and Scalability
- Scaling Airflow using Celery and Kubernetes Executors
- Improving resource efficiency in complex workflows
- Strategies for ensuring high availability and fault tolerance
Case Studies and Practical Applications
- Examining advanced scenarios in data engineering and DevOps
- Case study: Implementing custom operators for large-scale ETL
- Best practices for managing enterprise-grade workflows
Wrap-up and Future Directions
Requirements
- Solid grasp of Apache Airflow fundamentals, including DAGs, operators, and execution architecture
- Competency in Python programming
- Practical experience in integrating data systems and orchestrating workflows
Target 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.
