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Course Outline
Review of Apache Airflow Basics
- Core Concepts: Directed Acyclic Graphs (DAGs), tasks, and operators
- Airflow Architecture and Components
- Recap of Common Use Cases and Workflows for government
Optimizing Workflow Performance
- Identifying Bottlenecks in Airflow Pipelines for government
- Task-Level Optimization Techniques
- Leveraging Task Retries, Parallelism, and Concurrency for government
Managing Complex Dependencies
- Defining Dynamic Dependencies in Workflows for government
- Handling Conditional and Branching Workflows for government
- Using Task Groups and Sub-DAGs Effectively for government
Advanced Features in Apache Airflow
- Creating Custom Operators and Hooks for government
- Implementing Sensors for External Triggers for government
- Integrating Third-Party Services and Plugins for government
Scaling Apache Airflow Deployments
- Horizontal and Vertical Scaling Approaches for government
- Using Celery Executors for Distributed Execution for government
- Best Practices for Scaling in Cloud Environments for government
Monitoring and Debugging Workflows
- Configuring Logging and Alerts for Workflow Monitoring for government
- Using the Airflow User Interface (UI) and Command-Line Interface (CLI) for Troubleshooting for government
- Identifying and Resolving Common Issues in Airflow Deployments for government
Securing Apache Airflow
- Authentication and Access Control in Airflow for government
- Protecting Sensitive Data and Environment Configurations for government
- Implementing Audit Trails for Workflows for government
Enterprise Use Cases and Best Practices
- Designing Robust Workflows for Production Environments for government
- Leveraging Airflow for Data Engineering and Extract, Transform, Load (ETL) Pipelines for government
- Exploring Real-World Case Studies of Scalable Airflow Deployments for government
Summary and Next Steps
Requirements
- Basic understanding of Apache Airflow for government applications
- Familiarity with Python programming and workflow orchestration concepts
- Experience in managing and deploying applications on Linux environments
Audience
- Data engineers for government agencies
- DevOps professionals for government projects
- Software developers for government systems
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.
