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AI & machine learning

Apache Airflow

Open-source platform for authoring, scheduling and monitoring workflows.

Apache Airflow is an open-source platform for programmatically authoring, scheduling and monitoring data pipelines and workflows. Workflows are defined in Python as directed acyclic graphs (DAGs), where each node describes a task and each edge a dependency.

Airflow runs tasks in the right order, schedules them on a timed basis and provides a web interface for tracking the status of runs and tracing errors. It is often used to orchestrate ETL processes, data preparation and machine learning pipelines.

In practice at Provimedia

What Provimedia uses it for

Provimedia orchestrates data and ML pipelines with Apache Airflow, for example to automate recurring data preparation in AI development.

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