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Optimizing ML/AI Workflows with Essential Airflow Features

Optimizing ML/AI Workflows with Essential Airflow Features

Astronomer
Pages 37 Pages

Astronomer's ebook "Optimizing ML/AI Workflows with Essential Airflow Features" highlights Apache Airflow as the industry standard for orchestrating scalable, dynamic, and robust AI and machine learning pipelines. In 2023, 28% of Airflow users applied it to ML/AI tasks, leveraging advanced features like dynamic task mapping, dataset scheduling, and Day 2 operations best practices. The ebook covers how Airflow unifies data engineering and AI workflows, integrating with top ML tools and enabling efficient production-ready AI deployments across evolving tech ecosystems.

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