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Duration 21 hours
Course Outline
Foundational Review of Apache Airflow
- Core structural elements: DAGs, tasks, and operators
- Airflow system architecture and component breakdown
- Summary of standard operational use cases and workflow patterns
Workflow Performance Optimization
- Detection of performance bottlenecks within Airflow pipelines
- Techniques for optimizing individual task execution
- Application of task retries, parallelism, and concurrency management
Management of Complex Dependencies
- Definition of dynamic dependency structures in workflows
- Management of conditional logic and branching workflows
- Effective utilization of task groups and sub-DAGs
Advanced Functionality in Apache Airflow
- Development of custom operators and integration hooks
- Implementation of sensors for external event triggers
- Integration of third-party services and plugin architectures
Scaling Apache Airflow Infrastructure
- Strategies for horizontal and vertical scaling
- Utilization of Celery Executors for distributed processing
- Best practices for scaling deployments in cloud infrastructure
Workflow Monitoring and Diagnostic Procedures
- Configuration of logging frameworks and alerting systems
- Troubleshooting utilizing the Airflow User Interface and Command Line Interface
- Identification and resolution of common deployment issues
Apache Airflow Security Posture
- Management of authentication mechanisms and access controls
- Safeguarding sensitive data and environment-specific configurations
- Implementation of comprehensive audit trails for workflow accountability
Enterprise Applications and Operational Standards
- Design of resilient workflows for production-grade environments
- Application of Airflow for data engineering and ETL pipeline management
- Analysis of case studies demonstrating scalable Airflow implementations for government
Concluding Summary and Future Actions
Requirements
- Fundamental understanding of Apache Airflow operations
- Proficiency in Python programming and workflow orchestration principles
- Experience with application management and deployment in Linux environments
Intended Audience
- Data engineering professionals
- DevOps specialists
- Software development personnel
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.
