Airflow -

By treating workflows as code, Airflow allows developers to apply standard software engineering practices—such as version control, automated testing, and CI/CD—to their data pipelines. Key Features and Benefits

Understanding Apache Airflow: The Modern Standard for Data Orchestration airflow

In the era of big data, the ability to manage complex sequences of tasks efficiently is a competitive necessity. has emerged as the industry standard for programmatically authoring, scheduling, and monitoring workflows. Originally developed at Airbnb in 2014 to handle their exploding data needs, it joined the Apache Software Foundation in 2016 and has since become the backbone of data engineering teams worldwide. What is Apache Airflow? By treating workflows as code, Airflow allows developers

: The workflow has a clear start, an end, and a specific direction of flow. By treating workflows as code