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Duration 21 hours
Course Outline
Revisiting Fundamentals of Apache Airflow
- Key concepts: DAGs, tasks, and operators
- Overview of Airflow architecture and core components
- Summary of typical use cases and workflow patterns
Enhancing Workflow Efficiency
- Pinpointing performance bottlenecks in Airflow pipelines
- Applying task-level optimization methods
- Utilizing task retries, parallel processing, and concurrency controls
Handling Complex Workflow Dependencies
- Establishing dynamic dependencies within workflows
- Managing conditional logic and branching structures
- Effective use of task groups and sub-DAGs
Leveraging Advanced Apache Airflow Capabilities
- Developing custom operators and hooks
- Setting up sensors for external event triggers
- Connecting with third-party services and plugins
Scaling Apache Airflow Infrastructure
- Strategies for horizontal and vertical scaling
- Implementing Celery Executors for distributed execution
- Best practices for scaling within cloud environments
Workflow Monitoring and Troubleshooting
- Setting up logging and alerting mechanisms for workflow oversight
- Utilizing the Airflow UI and CLI for diagnostic purposes
- Identifying and addressing common operational issues
Hardening Apache Airflow Security
- Managing authentication and access control protocols
- Safeguarding sensitive data and environment settings
- Establishing audit trails for workflow activities
Enterprise Applications and Industry Best Practices
- Architecting robust workflows for production-grade environments
- Utilizing Airflow for data engineering and ETL pipeline automation
- Analyzing real-world case studies of scalable Airflow implementations
Conclusion and Future Pathways
Requirements
- Fundamental understanding of Apache Airflow
- Proficiency in Python programming and concepts related to workflow orchestration
- Practical experience in deploying and managing applications within Linux environments
Target Audience
- Data Engineers
- DevOps Specialists
- Software Developers
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.
