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Course Outline
Recap of Apache Airflow Fundamentals
- Core Concepts: Directed Acyclic Graphs (DAGs), Operators, and Execution Flow
- Airflow Architecture and Components
- Understanding Advanced Use Cases and Workflows for Government
Creating Custom Operators
- Understanding the Anatomy of an Airflow Operator
- Developing Custom Operators for Specific Tasks in Government Operations
- Testing and Debugging Custom Operators for Government Applications
Custom Hooks and Sensors
- Implementing Hooks for External System Integration in Government Projects
- Creating Sensors for Monitoring External Triggers for Government Workflows
- Enhancing Workflow Interactivity with Custom Sensors for Government Processes
Developing Airflow Plugins
- Understanding the Plugin Architecture for Government Systems
- Designing Plugins to Extend Airflow Functionality for Government Use
- Best Practices for Managing and Deploying Plugins in Government Environments
Integrating Airflow with External Systems
- Connecting Airflow to Databases, APIs, and Cloud Services for Government Operations
- Using Airflow for ETL Workflows and Real-Time Data Processing for Government Applications
- Managing Dependencies Between Airflow and External Systems for Government Projects
Advanced Debugging and Monitoring
- Using Airflow Logs and Metrics for Troubleshooting in Government Environments
- Configuring Alerts and Notifications for Workflow Issues in Government Workflows
- Leveraging External Monitoring Tools with Airflow for Government Operations
Optimizing Performance and Scalability
- Scaling Airflow with Celery and Kubernetes Executors for Government Systems
- Optimizing Resource Utilization in Complex Workflows for Government Projects
- Strategies for High Availability and Fault Tolerance in Government Operations
Case Studies and Real-World Applications
- Exploring Advanced Use Cases in Data Engineering and DevOps for Government
- Case Study: Custom Operator Implementation for Large-Scale ETL in Government Projects
- Best Practices for Managing Enterprise-Level Workflows for Government Operations
Summary and Next Steps
Requirements
- Comprehensive knowledge of Apache Airflow fundamentals, including Directed Acyclic Graphs (DAGs), operators, and execution architecture
- Proficiency in Python programming
- Experience in integrating data systems and workflow orchestration for government applications
Audience
- Data engineers
- DevOps engineers
- Software architects
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.
