Data Pipelines with Apache Airflow, Second Edition

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Beschreibung

<b>Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.</b><br><br><i>Data Pipelines with Apache Airflow</i> has 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.<br><br>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.<br><br>In <i>Data Pipelines with Apache Airflow, Second Edition </i>you'll learn how to:<ul><li>Master the core concepts of Airflow architecture and workflow design</li><li>Schedule data pipelines using the Dataset API and time tables, including complex irregular schedules</li><li>Develop custom Airflow components for your specific needs</li><li>Implement comprehensive testing strategies for your pipelines</li><li>Apply industry best practices for building and maintaining Airflow workflows</li><li>Deploy and operate Airflow in production environments</li><li>Orchestrate workflows in container-native environments</li><li>Build and deploy Machine Learning and Generative AI models using Airflow</li></ul><b>About the Technology</b><br><br>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 s

Artikeldetails

EAN

9781633436374

Sprache

Englisch

Einband / Art

Buch

Maße

235 x 188 x 37 mm

Erscheinungsjahr

2026

Verlag / Hersteller

Manning Publications