Apache Airflow Workflow Automation

Unlock the full potential of data engineering with our Complete Apache Airflow Course (2024). This course is designed to equip you with the skills to automate complex data workflows, manage dependencies, and monitor pipelines effectively using Apache Airflow.

What You’ll Learn

• Understanding Apache Airflow architecture and components
• Creating and managing Directed Acyclic Graphs (DAGs)
• Implementing task dependencies and scheduling
• Utilizing operators and sensors for task automation
• Monitoring and troubleshooting workflows
• Integrating Airflow with cloud platforms like AWS and GCP
• Best practices for workflow optimization and scaling

Requirements

• Basic knowledge of Python programming
• Familiarity with Linux command-line interface
• Understanding of SQL and databases
• Optional: Experience with cloud platforms (AWS, GCP)

Course Description

This comprehensive course delves deep into Apache Airflow, starting with foundational concepts and progressing to advanced topics. Through hands-on projects and real-world scenarios, you’ll learn to design, implement, and manage automated data pipelines. By the end of the course, you’ll be proficient in orchestrating complex workflows, ensuring data reliability, and optimizing performance.

About the Publication

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