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Data Ingestion with Python Cookbook

You're reading from Data Ingestion with Python Cookbook

Product type Book

Published in May 2023

Publisher Packt

ISBN-13 9781837632602

Pages 414 pages

Edition 1st Edition

Languages

Concepts

Data Engineering

Author (1):

Gláucia Esppenchutz

Table of Contents (17) Chapters

Preface

1. Part 1: Fundamentals of Data Ingestion

2. Chapter 1: Introduction to Data Ingestion

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

Why subscribe?

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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Authors (1)

Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.

See other products by Gláucia Esppenchutz

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