Great Expectations articles

Great Expectations is an open-source data validation and documentation framework that helps data teams bring reliability and trustworthiness to their data pipelines. It enables users to define and test data expectations – sets of assertions about data quality and characteristics – ensuring that data used in analytics and machine learning is clean and compliant with defined standards. Great Expectations can be integrated into data processing workflows to automatically validate data quality, providing a systematic approach to data testing, documentation, and profiling.