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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

Accessing databases and data warehouses

Databases are the foundation of any system or application, no matter your architecture. A database is sometimes needed to store logs, user activities or information, and system stuff.

Putting it in a bigger perspective, data warehouses have the same usage but are related to analytical data. After ingesting and transforming data, we need to load it somewhere where it is easier to retrieve analytic information for use on dashboards, reports, etc.

Currently, it is possible to find several types of databases (of the SQL and NoSQL types) and data warehouse architectures. However, this recipe aims to cover how access control is usually done for both relational structures. The goal is to understand how the access levels are defined, even using a generic scenario.

Getting ready

For this recipe, we will use MySQL. You can install it following the instructions on the MySQL official page here: https://dev.mysql.com/downloads/installer/.

You...

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