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Great Expectations is an open-source library that helps data teams with data testing, documentation, and profiling.
Great Expectations is a tool that helps data teams with data testing, documentation, and profiling. It allows users to define expectations about their data, such as expected values, data types, and ranges, and then automatically tests their data to ensure it meets those expectations. It also generates documentation about the data, including data dictionaries and data lineage, and provides data profiling to help users understand the structure and quality of their data. Great Expectations can be used with a variety of data sources, including databases, data lakes, and data warehouses, and can be integrated into existing data pipelines and workflows.
Settings
Great Expectations Home Directory
The directory where Great Expectations stores its configuration files and metadata.
View source code
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