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
Reviewing Apache Airflow Fundamentals
- Core concepts: DAGs, operators, and execution flow
- Architecture and key components of Airflow
- Identifying advanced use cases and workflow patterns
Building Custom Operators
- Anatomy of an Airflow operator
- Developing custom operators for specific tasks
- Testing and debugging custom operator implementations
Developing Custom Hooks and Sensors
- Implementing hooks for external system integration
- Creating sensors to monitor external triggers
- Improving workflow interactivity through custom sensors
Creating Airflow Plugins
- Understanding the Airflow plugin architecture
- Designing plugins to extend Airflow's core functionality
- Best practices for managing and deploying plugins
Integrating Airflow with External Systems
- Connecting Airflow to databases, APIs, and cloud services
- Utilizing 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
- Configuring alerts and notifications for workflow issues
- Incorporating external monitoring tools with Airflow
Optimizing Performance and Scalability
- Scaling Airflow using Celery and Kubernetes Executors
- Optimizing resource utilization in complex workflows
- Strategies for ensuring high availability and fault tolerance
Case Studies and Real-World Applications
- Exploring advanced use cases in data engineering and DevOps
- Case study: Implementing custom operators for large-scale ETL processes
- Best practices for managing enterprise-level workflows
Summary and Next Steps
Requirements
- A solid grasp of Apache Airflow fundamentals, including DAGs, operators, and execution architecture
- Proficiency in Python programming
- Experience in data system integration and workflow orchestration
Target Audience
- Data Engineers
- DevOps Engineers
- Software Architects
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.
