This advanced quest dives deep into the world of data pipelines using Apache Airflow. Participants will learn how to design, implement, and manage complex data workflows that can handle large volumes of data from various sources. The quest will cover the architecture of Apache Airflow, including its components such as the Scheduler, Web Server, and Workers. You will explore how to create Directed Acyclic Graphs (DAGs) to define workflows, utilize Operators to execute tasks, and apply best practices for error handling and logging. Additionally, you'll implement Airflow in a cloud environment, integrate it with other tools like Apache Spark and PostgreSQL, and learn how to monitor and troubleshoot your data pipelines effectively. By the end of this quest, you'll have hands-on experience building robust data pipelines that are scalable and maintainable.
