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

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781837632602

Length 414 pages

Edition 1st Edition

Languages

Python

Tools

Apache Airflow

Concepts

Data Engineering

Author (1):

Gláucia Esppenchutz

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Table of Contents (17) Chapters

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

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Creating connectors in Airﬂow

Having DAGs and operators without connecting to any external source is useless. Of course, there are many ways to ingest files, even from other DAGs or task results. Still, data ingestion usually involves using external sources such as APIs or databases as the first step of a data pipeline.

To make this happen, in this recipe, we will understand how to create a connector in Airflow to connect to a sample database.

Getting ready

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

This exercise will also require the MongoDB local database to be up and running. Ensure you have configured it as seen in Chapter 1 and have at least one database and collection. You can use the instructions from the Connecting to a NoSQL database (MongoDB) recipe in Chapter 5.