Building ETL Pipelines with Python

Table of Contents

1. A Primer on Python and the Development Environment
2. Understanding the ETL Process and Data Pipelines
3. Design Principles for Creating Scalable and Resilient Pipelines
4. Sourcing Insightful Data and Data Extraction Strategies
5. Data Cleansing and Transformation
6. Loading Transformed Data
7. Tutorial – Building an End-to End ETL Pipeline in Python
8. Powerful ETL Libraries and Tools in Python
9. A Primer on AWS tools for ETL Processes
10. Tutorial – Creating an ETL Pipeline in AWS
11. Building Robust Deployment Pipelines in AWS
12. Orchestration and Scaling in ETL Pipelines
13. Testing Strategies for ETL pipelines
14. Best Practices for ETL Pipelines
15. Use Cases and Further Reading