Apache Airflow Training and Certification in Kraków, Poland

Apache Airflow is an open-source tool for orchestrating, scheduling, and monitoring workflows. This course will cover:

• Core concepts of Apache Airflow

• DAG (Directed Acyclic Graph) creation and management

• Task scheduling, dependencies, and execution

• Airflow operators, hooks, and sensors

• Monitoring, logging, and troubleshooting workflows

• Deploying Airflow in production environments

Course Agenda

Introduction to Apache Airflow

• What is Apache Airflow?

• Importance of workflow orchestration

• Use cases and real-world applications

Apache Airflow Architecture

• Components: Scheduler, Executor, Web Server, Metadata Database

• DAGs, Tasks, Operators, and Sensors

• Configuring Airflow in different environments

DAGs and Workflow Automation

• Creating and managing DAGs

• Task dependencies and execution flow

• Dynamic DAG generation using Python

Airflow Operators, Hooks, and Sensors

• Built-in Operators (Python, Bash, SQL, etc.)

• Customizing Hooks and Sensors

• Integration with databases, APIs, and cloud services

Scheduling and Execution

• Scheduling strategies (Cron, Timetable, Custom Schedules)

• Parallel execution and task concurrency

• Monitoring task execution with logs

Monitoring, Logging, and Debugging

• Web UI and CLI for monitoring workflows

• Logging and alerting mechanisms

• Debugging failed tasks and error handling

Deploying Apache Airflow

• Local vs. Cloud deployment

• Running Airflow on Kubernetes and Docker

• CI/CD pipelines with Apache Airflow

Best Practices and Security in Airflow

• DAG optimization and performance tuning

• Security best practices (RBAC, Authentication, Secrets Management)

• Handling large-scale workflows efficiently