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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

Concepts

Data Engineering

Author (1):

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

Why subscribe?

16. Other Books You May Enjoy

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.

How to do it…

Here are the steps to perform this recipe:

Let’s start by opening...

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Authors (1)

Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.

See other products by Gláucia Esppenchutz

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