Apache Airflow Workflow Orchestration

Apache Airflow is an open-source workflow orchestration platform used to programmatically design, schedule, and monitor data pipelines. It allows users to define workflows as Directed Acyclic Graphs (DAGs) using Python, enabling automation and reliable execution of complex tasks and dependencies.

Features of Apache Airflow:

• Workflow orchestration using Python-based DAGs.
• Scheduling and monitoring of tasks with dependency management.
• Web-based user interface for tracking workflow execution and logs.
• Scalable and extensible architecture with rich operator support.
• Integration with databases, cloud services, and big data tools.

To check the version of Apache Airflow, run the following command:

$ airflow version

Disclaimer: Apache Airflow is an open-source project maintained by the Apache Software Foundation. It requires proper configuration of executors, databases, and security settings for production use. While Airflow simplifies workflow automation and scheduling, careful setup and monitoring are necessary to ensure reliable and scalable operations.