Julian de Ruiter

Julian de Ruiter is a machine learning engineer with a background in computer and life sciences and has a PhD in computational cancer biology. As an experienced software developer, he enjoys bridging the worlds of data science and engineering by using cloud and open source software to develop production-ready machine learning solutions. In his spare time, he enjoys developing his own Python packages, contributing to open source projects, and tinkering with electronics.

books by Julian de Ruiter

Data Pipelines with Apache Airflow, Second Edition
  • MEAP began December 2024
  • Publication in August 2025 (estimated)
  • ISBN 9781633436374
  • 450 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white

Data Pipelines with Apache Airflow, Second Edition teaches you how to build and maintain effective data pipelines. You'll master every aspect of directed acyclic graphs (DAGs)—the power behind Airflow—and learn to customize them for your pipeline's specific needs. Part reference and part tutorial, each technique is illustrated with engaging hands-on examples, from training machine learning models for generative AI to optimizing delivery routes. You'll explore common Airflow usage patterns, including aggregating multiple data sources and connecting to data lakes, while discovering exciting new features such as dynamic scheduling, the Taskflow API, and Kubernetes deployments.

Data Pipelines with Apache Airflow
  • April 2021
  • ISBN 9781617296901
  • 480 pages
Included with a Manning Online subscription
  • printed in black & white
  • Available translations: Korean, Russian, Simplified Chinese

Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs.