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Building ETL Pipelines with Python
Building ETL Pipelines with Python

Building ETL Pipelines with Python: Create and deploy enterprise-ready ETL pipelines by employing modern methods

By Brij Kishore Pandey , Emily Ro Schoof
€20.99 €13.99
Book Sep 2023 246 pages 1st Edition
eBook
€20.99 €13.99
Print
€26.99
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€14.99 Monthly
eBook
€20.99 €13.99
Print
€26.99
Subscription
€14.99 Monthly

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Building ETL Pipelines with Python

Part 1:Introduction to ETL, Data Pipelines, and Design Principles

For the first part of this book, we will introduce the fundamentals of data pipelines in Python and set up your local development environment with Integrated Development Environments (IDEs), virtual environments, and Git version control. We will provide you with an overview of what Extract-Load-Transform (ETL) data pipelines are and how to design them yourself. As a word of caution, Python is at the core of this book; you must have a basic familiarity with Python in order to follow along accordingly.

This section contains the following chapters:

  • Chapter 1, A Primer on Python and the Development Environment
  • Chapter 2, Understanding the ETL Process and Data Pipelines
  • Chapter 3, Design Principles for Creating Scalable and Resilient Pipelines
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Key benefits

  • Understand how to set up a Python virtual environment with PyCharm
  • Learn functional and object-oriented approaches to create ETL pipelines
  • Create robust CI/CD processes for ETL pipelines
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Modern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, applications, and open source components. With its simplicity and extensive library support, Python has emerged as the undisputed choice for data processing. In this book, you’ll walk through the end-to-end process of ETL data pipeline development, starting with an introduction to the fundamentals of data pipelines and establishing a Python development environment to create pipelines. Once you've explored the ETL pipeline design principles and ET development process, you'll be equipped to design custom ETL pipelines. Next, you'll get to grips with the steps in the ETL process, which involves extracting valuable data; performing transformations, through cleaning, manipulation, and ensuring data integrity; and ultimately loading the processed data into storage systems. You’ll also review several ETL modules in Python, comparing their pros and cons when building data pipelines and leveraging cloud tools, such as AWS, to create scalable data pipelines. Lastly, you’ll learn about the concept of test-driven development for ETL pipelines to ensure safe deployments. By the end of this book, you’ll have worked on several hands-on examples to create high-performance ETL pipelines to develop robust, scalable, and resilient environments using Python.

What you will learn

Explore the available libraries and tools to create ETL pipelines using Python Write clean and resilient ETL code in Python that can be extended and easily scaled Understand the best practices and design principles for creating ETL pipelines Orchestrate the ETL process and scale the ETL pipeline effectively Discover tools and services available in AWS for ETL pipelines Understand different testing strategies and implement them with the ETL process

Product Details

Country selected

Publication date : Sep 29, 2023
Length 246 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781804615256
Vendor :
Amazon
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Sep 29, 2023
Length 246 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781804615256
Vendor :
Amazon
Category :
Concepts :

Table of Contents

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

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