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Data Ingestion with Python Cookbook

You're reading from   Data Ingestion with Python Cookbook A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837632602
Length 414 pages
Edition 1st Edition
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Author (1):
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Gláucia Esppenchutz Gláucia Esppenchutz
Author Profile Icon Gláucia Esppenchutz
Gláucia Esppenchutz
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Fundamentals of Data Ingestion
2. Chapter 1: Introduction to Data Ingestion FREE CHAPTER 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

Creating custom operators

As seen in the previous recipe, Creating DAGs, it is nearly impossible to create a DAG without instantiating a task or, in other words, defining an operator. Operators are responsible for holding the logic required to process data in the pipeline.

We also know that Airflow already has predefined operators, allowing dozens of ways to ingest and process data. Now, it is time to put into practice how to create custom operators. Custom operators allow us to apply specific logic to a related project or data pipeline.

You will learn how to create a simple customized operator in this recipe. Although it is very basic, you will be able to apply the foundations of this technique to different scenarios.

In this recipe, we will create a custom operator to connect to and retrieve data from the HolidayAPI, the same as we saw previously, in Chapter 2.

Getting ready

Please, refer to the Getting ready section in the Configuring Airflow recipe for this recipe...

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