Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Building ETL Pipelines with Python

You're reading from   Building ETL Pipelines with Python Create and deploy enterprise-ready ETL pipelines by employing modern methods

Arrow left icon
Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781804615256
Length 246 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Brij Kishore Pandey Brij Kishore Pandey
Author Profile Icon Brij Kishore Pandey
Brij Kishore Pandey
Emily Ro Schoof Emily Ro Schoof
Author Profile Icon Emily Ro Schoof
Emily Ro Schoof
Arrow right icon
View More author details
Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1:Introduction to ETL, Data Pipelines, and Design Principles
2. Chapter 1: A Primer on Python and the Development Environment FREE CHAPTER 3. Chapter 2: Understanding the ETL Process and Data Pipelines 4. Chapter 3: Design Principles for Creating Scalable and Resilient Pipelines 5. Part 2:Designing ETL Pipelines with Python
6. Chapter 4: Sourcing Insightful Data and Data Extraction Strategies 7. Chapter 5: Data Cleansing and Transformation 8. Chapter 6: Loading Transformed Data 9. Chapter 7: Tutorial – Building an End-to-End ETL Pipeline in Python 10. Chapter 8: Powerful ETL Libraries and Tools in Python 11. Part 3:Creating ETL Pipelines in AWS
12. Chapter 9: A Primer on AWS Tools for ETL Processes 13. Chapter 10: Tutorial – Creating an ETL Pipeline in AWS 14. Chapter 11: Building Robust Deployment Pipelines in AWS 15. Part 4:Automating and Scaling ETL Pipelines
16. Chapter 12: Orchestration and Scaling in ETL Pipelines 17. Chapter 13: Testing Strategies for ETL Pipelines 18. Chapter 14: Best Practices for ETL Pipelines 19. Chapter 15: Use Cases and Further Reading 20. Index 21. Other Books You May Enjoy

Powerful ETL Libraries and Tools in Python

Up to this point in the book, we have covered the fundamentals of building data pipelines. We’ve introduced some of Python’s most common modules that can be utilized to establish rudimentary iterations of data pipelines. While this is a great place to start, these methods are far from the most realistic approach; there is no lack of space for improvement. There are several powerful, ETL-specific Python libraries and pipeline management platforms that we can use to our advantage to make more durable, scalable, and resilient data pipelines suitable for real-world deployment scenarios.

We will divide this chapter into two parts. We start by introducing six of Python’s most popular ETL pipeline libraries. We will use the same “seed” ETL activities with each library, walking through how each of the following resources can be used to create an organized, reusable data ETL pipeline:

  • Part 1 – ETL...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime