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Course Outline

Refreshing Apache Airflow Fundamentals

  • Essential concepts: DAGs, tasks, and operators
  • Understanding Airflow architecture and its core components
  • Reviewing common use cases and workflow patterns

Enhancing Workflow Performance

  • Pinpointing bottlenecks within Airflow pipelines
  • Applying task-level optimization strategies
  • Utilizing task retries, parallelism, and concurrency for efficiency

Navigating Complex Dependencies

  • Establishing dynamic dependencies within workflows
  • Managing conditional logic and branching pathways
  • Effective use of task groups and sub-DAGs

Exploring Advanced Apache Airflow Capabilities

  • Developing custom operators and hooks
  • Deploying sensors for external event triggering
  • Integrating third-party services and plugins

Scaling Apache Airflow Infrastructure

  • Strategies for horizontal and vertical scaling
  • Implementing Celery Executors for distributed task execution
  • Optimizing scaling practices for cloud-based environments

Workflow Monitoring and Debugging

  • Setting up logging and alerting systems for continuous monitoring
  • Utilizing the Airflow UI and CLI for effective troubleshooting
  • Diagnosing and resolving frequent issues in Airflow setups

Strengthening Apache Airflow Security

  • Managing authentication and access controls
  • Safeguarding sensitive data and environment settings
  • Establishing comprehensive audit trails for workflows

Enterprise Applications and Best Practices

  • Architecting resilient workflows for production environments
  • Applying Airflow to data engineering and ETL processes
  • Analyzing real-world case studies of scalable Airflow implementations

Wrap-up and Future Directions

Requirements

  • Foundational understanding of Apache Airflow
  • Proficiency in Python programming and core workflow orchestration principles
  • Practical experience in deploying and managing applications on Linux systems

Target Audience

  • Data engineers
  • DevOps specialists
  • Software developers
 21 Hours

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