5/16/2023 0 Comments Airflow company![]() Another benefit of maintaining pipelines using code is that it allows versioning and accountability for change. Airflow exists to help rationalize this modeling of work, which establishes linear flow based on declared dependencies. Steps can be defined in small units, but that breaks down quickly as the number of steps becomes larger. The data processing we do is not linear and static.Īirflow models more closely with a dependency-based declaration as opposed to a step-based declaration. This allows for writing code that creates pipeline instances dynamically. Dynamic Pipeline Generation: Airflow pipelines are configuration-as-code (Python), allowing for dynamic pipeline generation.Although Airflow is not perfect, the community is working on a lot of critical features that are crucial to improving the performance and stability of the Airflow platform. ![]() Built by numerous Data Engineers, Airflow is a complete solution and solves countless Data Engineering Use Cases. Since its inception, several functionalities have already been added to Airflow. The ability to add custom hooks/operators and other plugins helps users implement custom use cases easily and not rely on Airflow Operators completely.
0 Comments
Leave a Reply. |