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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

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781805123750
Length 188 pages
Edition 1st Edition
Languages
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Authors (3):
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Dylan Storey Dylan Storey
Author Profile Icon Dylan Storey
Dylan Storey
Dylan Intorf Dylan Intorf
Author Profile Icon Dylan Intorf
Dylan Intorf
Kendrick van Doorn Kendrick van Doorn
Author Profile Icon Kendrick van Doorn
Kendrick van Doorn
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Toc

Table of Contents (20) Chapters Close

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 19. Other Books You May Enjoy

Summary

In this chapter, we covered some key areas of the Airflow architecture and the primary components that make up connections and secrets. We spent time analyzing what Connections are, how to create, edit, and delete a connection, and how they are best used. In addition, secrets are often needed to create and maintain connections. There are multiple ways and tools available to meet your team’s needs and business goals, but the following chart may help with future decisions.

Method

Pros

Cons

Environment Variables

Simple and easy to set up and use

Not very secure, with no access from Airflow UI or CLI

Metadata Database

Quick to set up and edit values via the UI and CLI

Not secure and hard to scale

...
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