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Apache Airflow

Apache Airflow is an open-source platform designed for programmatically authoring, scheduling, and monitoring complex data workflows. It enables users to define these workflows as Directed Acyclic Graphs (DAGs) using Python, providing a code-first approach to pipeline management. This platform focuses on orchestrating entire workflows, managing dependencies between tasks, and ensuring scheduled execution. Airflow is Python-native and widely adopted, serving as a standard for batch orchestration. It can also integrate with other tools, such as Celery, for distributed task execution.

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Overview

Apache Airflow is an open-source platform designed for programmatically authoring, scheduling, and monitoring complex data workflows. It enables users to define these workflows as Directed Acyclic Graphs (DAGs) using Python, providing a code-first approach to pipeline management.

This platform focuses on orchestrating entire workflows, managing dependencies between tasks, and ensuring scheduled execution. Airflow is Python-native and widely adopted, serving as a standard for batch orchestration. It can also integrate with other tools, such as Celery, for distributed task execution.

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