Orchestrating Data Engineering Pipelines using Apache Airflow

Apache Airflow is an open source workflow orchestration platform. It enables engineers to define, schedule, and orchestrate workflows as directed acyclic graphs (DAGs). Airflow supports a wide range of integrations with popular data storage and processing systems and is suitable for a variety of use cases, from ETL (extract, transform, load) processes to sophisticated machine learning pipelines. With its scalable and extensible architecture, great graphical user interface, and collection of plugins and extensions, Airflow is widely used to improve productivity and ensure data reliability and quality. We will have a deep dive into the architecture of Apache Airflow, various components, and key concepts that make Apache Airflow a powerful workflow orchestrator.