Building ETL Pipelines with Python
Create and deploy enterprise-ready ETL pipelines by employing modern methods
Created by Brij Kishore Pandey, Emily Ro Schoof
Discover how to design and deploy reliable ETL pipelines using Python. You will explore practical methods for extracting, transforming, and loading data, while learning to leverage Python's powerful libraries and cloud tools. By the end, you'll be ready to build scalable data solutions for real-world needs.
Packt | Sep 2023 | 246 min
What You Will Learn
You will gain hands-on experience by building ETL pipelines from the ground up, starting with environment setup and moving through extraction, transformation, and loading. Along the way, you'll compare Python tools, implement testing strategies, and explore cloud integration, ensuring you can deliver production-ready solutions.
Key Features
- Set up a Python environment and use popular libraries for ETL tasks
- Apply best practices to write clean, scalable, and testable ETL code
- Integrate cloud tools and automate deployment for robust pipelines
Target Audience
Ideal for data engineers and software professionals with basic Python skills who want to develop enterprise-level ETL pipelines. If you're aiming to automate data workflows, improve pipeline reliability, or scale your solutions using modern tools, you'll find practical guidance and actionable techniques here.
