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

View More author details

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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Managing encrypted ﬁles

When handling sensitive data is common, some fields or even the entire file is encrypted. It is comprehensive when this file security measure is implemented since sensitive data can expose the life of users. After all, encryption is the process of converting information into code that hides the original content.

Nonetheless, we must still ingest and process these encrypted files in our data pipelines. To be able to do so, we need to understand a bit more about how encryption works and how it is done.

In this recipe, we will decrypt a GnuPG-encrypted (where GnuPG stands for GNU Privacy Guard) file using Python libraries and best practices.

Getting ready

Before jumping into the fun part, we must install the GnuPG library on our local machine and download the encrypted dataset.

You will need two installations for the GnuPG file – one for the operating system (OS) and another for a Python package. This because the Python package requires...