Learn helpful techniques with this step-by-step Python tutorial on data mapping and validation. Learn to enhance data quality and trust by mastering environment setup, file creation, and robust validation techniques.

Generating realistic test data is crucial for developing and testing ETL (Extract, Transform, Load) pipelines. By following this step-by-step guide, you will build a reusable workflow to automate ETL testing with realistic sample data.