Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Refresher on Apache Airflow Fundamentals
- Core principles: DAGs, tasks, and operators
- Overview of Airflow architecture and key components
- Review of typical use cases and workflow patterns
Enhancing Workflow Performance
- Detecting performance bottlenecks within Airflow pipelines
- Techniques for optimizing individual tasks
- Utilizing task retries, parallelism, and concurrency controls
Handling Complex Dependencies
- Setting up dynamic dependencies within workflows
- Managing conditional logic and branching structures
- Effective use of task groups and sub-DAGs
Exploring Advanced Apache Airflow Capabilities
- Developing custom operators and hooks
- Deploying sensors to react to external triggers
- Integrating third-party services and plugin extensions
Scaling Apache Airflow Infrastructure
- Strategies for horizontal and vertical scaling
- Leveraging Celery Executors for distributed task execution
- Best practices for scaling in cloud-based environments
Workflow Monitoring and Debugging
- Setting up logging and alerting systems for workflow oversight
- Utilizing the Airflow UI and CLI tools for issue resolution
- Diagnosing and fixing common deployment challenges
Securing Apache Airflow
- Configuring authentication and access control mechanisms
- Safeguarding sensitive data and environment configurations
- Establishing audit trails for workflow activities
Enterprise Applications and Best Practices
- Architecting robust workflows for production workloads
- Applying Airflow to data engineering and ETL pipeline automation
- Analyzing real-world examples of scalable Airflow implementations
Conclusion and Future Directions
Requirements
- Foundational understanding of Apache Airflow
- Proficiency in Python programming and an understanding of workflow orchestration principles
- Experience deploying and managing applications in Linux-based 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.
