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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 data from AWS using S3

AWS is one of the most popular cloud providers, mixing different service architectures and allowing easy and fast implementations.

While it has various solutions for relational and non-relational databases, in this recipe, we will cover how to manage data access from S3 buckets, which is an object storage service allowing not only text files to be uploaded, but also media and several other types of files used in the IoT and big data fields.

There are two commonly used types of data access management for S3 buckets, both used on ingest pipelines – user control and bucket policies. In this recipe, we will learn how to manage access by user control, given that it is the most used method among data ingestion pipelines.

Getting ready

To do this recipe, having or creating an AWS account is not mandatory. The objective is to build a step-by-step Identity Access Management (IAM) policy to retrieve data from an S3 bucket using good data access...

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