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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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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

Connecting to a NoSQL database (MongoDB)

MongoDB is an open source, unstructured, document-oriented database made in C++. It is well known in the data world for its scalability, flexibility, and speed.

As someone who will work with data (or maybe already does), it is essential to know how to explore a MongoDB (or any other unstructured) database. MongoDB has some peculiarities, which we will explore practically here.

In this recipe, you will learn how to create a connection to access MongoDB documents via Studio 3T Free, a MongoDB GUI.

Getting ready

To start our work with this robust database, first, we need to install and create a MongoDB server on our local machine. We already configured a MongoDB Docker container in Chapter 1, so let’s get it up and running. You can do this using Docker Desktop or via the command line using the following command:

my-project/mongo-local$ docker run \
--name mongodb-local \
-p 27017:27017 \
-e MONGO_INITDB_ROOT_USERNAME=<your_username...
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