Data integrity hinges on defined rules that govern data quality. These rules, known as data constraints, automatically validate information before entry, preventing errors like duplicate entries or invalid formats. They ensure consistency across databases, making analytics reliable. Database administrators, software developers, and data analysts benefit most, as constraints streamline data governance and reduce costly cleanup efforts.
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