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Course Outline
Review of Apache Airflow Core Concepts
- Fundamental concepts: DAGs, operators, and execution flow
- Overview of Airflow architecture and key components
- Exploring advanced use cases and complex workflows
Building Custom Operators
- Analyzing the structure of an Airflow operator
- Developing custom operators for specialized tasks
- Testing and troubleshooting custom operators
Implementing Custom Hooks and Sensors
- Creating hooks to facilitate integration with external systems
- Building sensors to monitor external triggers
- Improving workflow interactivity through custom sensor design
Developing Airflow Plugins
- Understanding the underlying plugin architecture
- Designing plugins to enhance Airflow’s capabilities
- Best practices for managing and deploying plugins
Connecting Airflow to External Systems
- Establishing connections with databases, APIs, and cloud services
- Leveraging Airflow for ETL workflows and real-time data processing
- Managing dependencies between Airflow and external infrastructure
Advanced Debugging and Monitoring
- Utilizing Airflow logs and metrics for effective troubleshooting
- Setting up alerts and notifications for workflow anomalies
- Incorporating external monitoring tools with 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 overseeing enterprise-grade workflows
Conclusion and Path Forward
Requirements
- A solid grasp of fundamental Apache Airflow concepts, including DAGs, operators, and execution architecture
- Proficiency in Python programming
- Practical experience with data system integration and workflow orchestration
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.
