Apache Airflow Best Practices: A practical guide to orchestrating data workflow with Apache Airflow

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Key benefits

Understand the steps for migrating from Airflow 1.x to 2.x and explore the new features and improvements in version 2.x

Learn Apache Airflow workflow authoring through real-world use cases

Uncover strategies to operationalize your Airflow instance and pipelines for resilient operations and high throughput

Purchase of the print or Kindle book includes a free PDF eBook

Description

Data professionals face the monumental task of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges. It covers everything from the basics of Airflow and its core components to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment. Starting with an introduction to data orchestration and the significant updates in Apache Airflow 2.0, this book takes you through the essentials of DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you’ll gain practical insights into implementing ETL pipelines and machine learning workflows in your environment. You’ll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring. By the end of this book, you’ll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python for your specific use cases, and making informed decisions crucial for production-ready implementation.

Who is this book for?

This book is for data engineers, developers, IT professionals, and data scientists who want to optimize workflow orchestration with Apache Airflow. It's perfect for those who recognize Airflow’s potential and want to avoid common implementation pitfalls. Whether you’re new to data, an experienced professional, or a manager seeking insights, this guide will support you. A functional understanding of Python, some business experience, and basic DevOps skills are helpful. While prior experience with Airflow is not required, it is beneficial.

What you will learn

Explore the new features and improvements in Apache Airflow 2.0

Design and build data pipelines using DAGs

Implement ETL pipelines, ML workflows, and other advanced use cases

Develop and deploy custom plugins and UI extensions

Deploy and manage Apache Airflow in cloud environments such as AWS, GCP, and Azure

Describe a path for the scaling of your environment over time

Apply best practices for monitoring and maintaining Airflow

What do you get with Print?

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Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Shipping Details

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Economy: Delivery to most addresses in the US within 10-15 business days

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Rest of the World:

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Sudan
Russian Federation
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Apache Airflow Best Practices: A practical guide to orchestrating data workflow with Apache Airflow

What do you get with Print?