Airflow 2.0 tutorial10/7/2023 ![]() The node represents the task, and the directed edges represent the dependencies between tasks.įor example, if task X connected with the edge and pointed to task Y, task A must be finished before task B can begin. The structure of the DAG (tasks and their dependencies) is specified as code in Python scripts.ĭAG of data pipeline is the best way to make task relationships more apparent. These tasks are organized in such a way that the relationship and dependencies are maintained. It provides an excellent user interface and monitors and fixes issues.Īirflow uses the DAG (Directed Acyclic Graph), a collection of all tasks users want to run. It assures that each task in the data pipeline will get executed in the order and each task gets the required resources. It is a workflow engine that easily schedules and runs the complex data pipeline. What is Apache Airflow?Īpache Airflow is a tool that is popularly used in the data engineering fields. Moreover, these tasks are required to perform in a specific order.
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