Apache Airflow
Apache Airflow is scalable, dynamic, extensible, and elegant, with pure Python features and a useful UI for workflow management.Introduction
What is Apache Airflow Apache Airflow is a platform to programmatically author, schedule and monitor workflows. It is built with a Pythonic, composable, and extensible design for orchestrating jobs with SQL-like syntax. 2. What are the characteristics of Apache Airflow Apache Airflow is scalable, dynamic, extensible, and elegant. It can scale to handle a large number of workers due to its modular architecture and message queue system. The pipelines are defined in Python, enabling dynamic pipeline generation, which facilitates writing code that can instantiate pipelines on the fly. Extensibility allows for defining custom operators and enhancing existing libraries to match the required level of abstraction. Additionally, Airflow pipelines are lean and explicit. They utilize the Jinja templating engine, which is powerful for parametrization. It is a Pure Python platform, eliminating the need for command-line or XML configur
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