Data Pipelines with Apache Airflow, Second Edition: Orchestration for data and AI [Paperback]

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Data Pipelines with Apache Airflowhas empowered thousands of data engineers to build more successful data platforms. This new second edition has been fully revised for Airflow 3 with coverage of all the latest features of Apache Airflow, including the Taskflow API, deferrable operators, and Large Language Model integration. Filled with real-world scenarios and examples, you'll be carefully guided from Airflow novice to expert.

Using real-world scenarios and examples, this book teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. 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.

InData Pipelines with Apache Airflow, Second Editionyou'll learn how to:

• Master the core concepts of Airflow architecture and workflow design
• Schedule data pipelines using the Dataset API and time tables, including complex irregular schedules
• Develop custom Airflow components for your specific needs
• Implement comprehensive testing strategies for your pipelines
• Apply industry best practices for building and maintaining Airflow workflows
• Deploy and operate Airflow in production environments
• Orchestrate workflows in container-native environments
• Build and deploy Machine Learning and Generative AI models using Airflow

About the Technology

Apache Airflow provides a unified platform for collecting, consolidating, cleaning, and analyzing data. With its easy-to-use UI, powerful scheduling and monitoring features, plug-and-play options, and flexible Python scrilS