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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 our NoSQL table in MongoDB

After successfully connecting and understanding how Studio 3T works, we will now import some MongoDB collections. We have seen in the Connecting to a NoSQL database (MongoDB) recipe how to get started with MongoDB, and in this recipe, we will import a MongoDB database and come to understand its structure. Although MongoDB has a specific format to organize data internally, understanding how a NoSQL database behaves is crucial when working with data ingestion.

We will practice by ingesting the imported collections in the following recipes in this chapter.

Getting ready

For this recipe, we will use a sample dataset of Airbnb reviews called listingsAndReviews.json. You can find this dataset in the GitHub repository of this book at https://github.com/PacktPublishing/Data-Ingestion-with-Python-Cookbook/tree/main/Chapter_5/datasets/sample_airbnb. After downloading it, put the file into our mongo-local directory, created in Chapter 1.

I kept...

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