Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Data Ingestion with Python Cookbook

You're reading from  Data Ingestion with Python Cookbook

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781837632602
Pages 414 pages
Edition 1st Edition
Languages
Author (1):
Gláucia Esppenchutz Gláucia Esppenchutz
Profile icon Gláucia Esppenchutz

Table of Contents (17) Chapters

Preface 1. Part 1: Fundamentals of Data Ingestion
2. Chapter 1: Introduction to Data Ingestion 3. Chapter 2: Principals of Data Access – Accessing Your Data 4. Chapter 3: Data Discovery – Understanding Our Data before Ingesting It 5. Chapter 4: Reading CSV and JSON Files and Solving Problems 6. Chapter 5: Ingesting Data from Structured and Unstructured Databases 7. Chapter 6: Using PySpark with Defined and Non-Defined Schemas 8. Chapter 7: Ingesting Analytical Data 9. Part 2: Structuring the Ingestion Pipeline
10. Chapter 8: Designing Monitored Data Workflows 11. Chapter 9: Putting Everything Together with Airflow 12. Chapter 10: Logging and Monitoring Your Data Ingest in Airflow 13. Chapter 11: Automating Your Data Ingestion Pipelines 14. Chapter 12: Using Data Observability for Debugging, Error Handling, and Preventing Downtime 15. Index 16. Other Books You May Enjoy

Defining ingest-dependent DAGs

In the data world, considerable discussion exists about how to organize Airflow DAGs. The approach I generally use is to create a DAG for a specific pipeline based on the business logic or final destination. Nevertheless, sometimes, to proceed with a task inside a DAG, we depend on another DAG to finish the process and get the output.

In this recipe, we will create two DAGs, where the first depends on the result of the second to be successful. Otherwise, it will not be completed. To assist us, we will use the ExternalTaskSensor operator.

Getting ready

Please refer to the Getting ready section of the Configuring Airflow recipe for this recipe since we will handle it with the same technology.

This recipe depends on the holiday_ingest DAG, created in the Creating custom operators recipe, so ensure you have that.

We will not explicitly cite the imports and main DAG configuration to prevent redundancy and repetition in this exercise. The...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}