Data Pipelines With Apache Airflow Second Edition Meap V09 2 Chapters 1 To 11 Of 16 Julian De Ruiter by Julian De Ruiter, Ismael Cabral, Kris Geusebroek, Daniel Van Der Ende, Bas Harenslak 9781633436374, 1633436373 instant download after payment.

Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow.
 
Apache Airflow provides a batteries-included platform for designing, implementing, and monitoring data pipelines. Building pipelines on Airflow eliminates the need for patchwork stacks and homegrown processes, adding security and consistency to the process. Now in its second edition, Data Pipelines with Apache Airflow teaches you to harness this powerful platform to simplify and automate your data pipelines, reduce operational overhead, and seamlessly integrate all the technologies in your stack.
 
In Data Pipelines with Apache Airflow, Second Edition you'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
 
Data Pipelines with Apache Airflow has empowered thousands of data engineers to build more successful data platforms. This new second edition has been fully revised to cover 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.
 
About the reader
For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills.