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
Python tool for automated dataset reconciliation and data migration validation.
ValidateX is a lightweight, extensible data quality validation framework for Python that helps ensure dataset accuracy, consistency, and reliability with automated reporting and quality scoring.
Healthcare CDC validation, Snowflake migration QA, source-to-target reconciliation, and data quality frameworks
Migration test framework
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.
ETL pipeline testing suite with PySpark and Pytest — schema validation, business rules, unit and integration tests
This Python Automation Script could be used to validate data between SRC and TGT in data testing projects
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