Data Engineering Workflows with Apache Airflow (Advanced)
In this advanced quest, you will delve deep into the world of data engineering using Apache Airflow. This quest is designed for those who have a foundational knowledge of data pipelines and want to enhance their skills in orchestrating complex workflows. You will learn to set up Airflow in a production environment, create dynamic workflows, manage dependencies, and optimize task executions. Explore the integration of various data sources and sinks, implement monitoring and alerting mechanisms, and understand best practices for scaling Airflow. By the end of this quest, you will have the practical skills necessary to design and maintain robust data workflows that can handle large volumes of data efficiently.
• Set up Apache Airflow in a production environment.
• Create and manage complex DAGs (Directed Acyclic Graphs) for data workflows.
• Implement task dependencies and optimize execution performance.
• Integrate Airflow with cloud services and data storage solutions.
