Great Expectations is a Python library that helps data teams ensure data quality. It essentially provides a way to define, validate, and document expectations about your data. These expectations can range from simple things like checking if a column contains only positive values to more complex checks involving relationships between different tables. It is used for testing and validating data pipelines to ensure data integrity and consistency.
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