1. Apache Airflow Demystified: Build, Schedule, and Monitor Data Pipelines
Authored by R. Parvin, Apache Airflow Demystified is a comprehensive guide that dives deep into the intricacies of Apache Airflow, making it accessible for both beginners and seasoned data engineers. This book not only outlines practical examples but also shares best practices for implementing data pipelines effectively. Readers will appreciate the clarity with which complex concepts are explained, making it a vital addition to the libraries of data professionals. From building jobs to monitoring workflows, this book equips you with the tools necessary to succeed in a data-driven world. If you’re looking to enhance your skills and improve your operational workflows in data management, this book is a must-read.
2. Data Pipelines with Apache Airflow
Data Pipelines with Apache Airflow, authored by Julian de Ruiter and Bas Harenslak, offers a detailed exploration of the intricacies involved in constructing and managing data pipelines. This book stands out for its practical approach, providing readers with real-world scenarios and examples that illustrate the power of Apache Airflow in action. From setting up a simple pipeline to implementing complex workflows, readers are guided step-by-step through the process, making it an ideal resource for data engineers at any level. Not only does it enhance your understanding of data orchestration, but it also prepares you to tackle challenges that arise in real-world applications. Investing in this book will significantly elevate your expertise in data pipeline management.
