Data Pipelines with Apache Airflow

This Book provides a comprehensive guide to Apache Airflow, a powerful open-source workflow management platform commonly used in data-intensive environments. It covers the fundamentals of Airflow, including defining data pipelines as directed acyclic graphs (DAGs), scheduling and executing these pipelines, monitoring their performance, and handling failures. The book also explores advanced topics such as templating tasks, building custom components, integrating with external systems, and designing tests for your pipelines. The authors then demonstrate how to deploy and operate Airflow in production environments, including securing the system, managing resources efficiently, and collecting metrics for monitoring. Finally, the book includes detailed guidance on deploying Airflow in various cloud environments, including AWS, Azure, and GCP.

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