Collections of SQL queries and databases for ETL testing
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Updated
Oct 26, 2018
Collections of SQL queries and databases for ETL testing
A comprehensive ETL testing framework that implements data quality validation using Great Expectations. This project demonstrates best practices in data validation, testing, and monitoring for e-commerce data pipelines, featuring automated data quality checks, BDD testing with Behave, and detailed reporting with Allure.
This Python Automation Script could be used to validate data between SRC and TGT in data testing projects
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