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What is it?
Automated tests for validating data model assumptions.
Simple Explainer
Revenue should never be negative, order dates should never be in the future, IDs should always be unique - can I easily test my data for that?
What Functional Requirement Does it Satisfy?
Data Quality Assurance
How it Reduces Cost
Eliminates need for third-party logging tools.
How it Helps Data Teams Ship Faster
Accelerates validation processes, eliminating manual checks.
How it Helps Orgs Build Trust in Data and Teams
Maintains high data quality standards, bolstering stakeholder confidence.