Apache Airflow is an open-source platform for managing, monitoring and scheduling tasks and workflows. It is designed to be an extensible platform that can be used to automate and orchestrate complex workflows. Airflow is built on top of the Apache Mesos distributed computing platform, and it provides a simple interface to create and run workflows in a distributed environment. With Apache Airflow, users can define, monitor, and manage complex workflows in a distributed environment. Airflow also provides a web-based user interface to create and manage workflows, as well as a command line interface for more advanced users. Airflow also provides an array of integrations with other software, including Hadoop, Apache Spark, Apache HBase, Apache Pig, and Apache Hive. Apache Airflow is a great tool for managing and automating complex data-driven workflows, and it's becoming increasingly popular among developers and data engineers.
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