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Apache Airflow Best Practices

You're reading from Apache Airflow Best Practices A practical guide to orchestrating data workflow with Apache Airflow

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781805123750

Length 188 pages

Edition 1st Edition

Languages

Python

Tools

Apache Airflow

Concepts

Data Engineering

Authors (3):

Dylan Storey

Dylan Intorf

Kendrick van Doorn

View More author details

Table of Contents (20) Chapters

Preface

1. Part 1: Apache Airflow: History, What, and Why

2. Chapter 1: Getting Started with Airflow 2.0 FREE CHAPTER

3. Chapter 2: Core Airflow Concepts

4. Part 2: Airflow Basics

5. Chapter 3: Components of Airflow

6. Chapter 4: Basics of Airflow and DAG Authoring

7. Part 3: Common Use Cases

8. Chapter 5: Connecting to External Sources

9. Chapter 6: Extending Functionality with UI Plugins

10. Chapter 7: Writing and Distributing Custom Providers

11. Chapter 8: Orchestrating a Machine Learning Workflow

12. Chapter 9: Using Airflow as a Driving Service

13. Part 4: Scale with Your Deployed Instance

14. Chapter 10: Airflow Ops: Development and Deployment

15. Chapter 11: Airflow Ops Best Practices: Observation and Monitoring

16. Chapter 12: Multi-Tenancy in Airflow

17. Chapter 13: Migrating Airflow

18. Index

Why subscribe?

19. Other Books You May Enjoy

Technical requirements

Similar to previous chapters, we expect that you have an Apache Airflow environment set up on your local machine and understand how to access it. In addition, for this chapter, it may be valuable to use a local testing tool such as Jupyter Notebook to test the code if errors are encountered.

In this section, we will go into detail on how to complete the actions within Airflow. All code for this chapter can be found at https://github.com/PacktPublishing/Apache-Airflow-Best-Practices/tree/main/chapter-04.

The rest of the chapter is locked

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Authors (3)

Dylan Intorf

Dylan Intorf

Dylan Intorf is a seasoned technology leader with a B.Sc. in computer science from Arizona State University. With over a decade of experience in software and data engineering, he has delivered custom, tailored solutions to the technology, financial, and insurance sectors. Dylan's expertise in data and infrastructure management has been instrumental in optimizing Airflow deployments and operations for several Fortune 25 companies.

See other products by Dylan Intorf

Kendrick van Doorn

Kendrick van Doorn

Kendrick van Doorn is an accomplished engineering and business leader with a strong foundation in soft ware development, honed through impactful work with federal agencies and consulting technology firms. With over a decade of experience in crafting technology and data strategies for leading brands, he has consistently driven innovation and efficiency. Kendrick holds a B.Sc. in computer engineering from Villanova University, an M.Sc. in systems engineering from George Mason University, and an MBA from Columbia University.

See other products by Kendrick van Doorn

Dylan Storey

Dylan Storey

Dylan Storey holds a B.Sc. and M.Sc. in biology from California State University, Fresno, and a Ph.D. in life sciences from the University of Tennessee, Knoxville where he specialized in leveraging computational methods to study complex biological systems. With over 15 years of experience, Dylan has successfully built, grown, and led teams to drive the development and operation of data products across various scales and industries, including many of the top Fortune-recognized organizations. He is also an expert in leveraging AI and machine learning to automate processes and decisions, enabling businesses to achieve their strategic goals.

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