📄️ 📊 DQ Dimensions
Data Quality Dimensions represent the fundamental perspectives from which the health and fitness of data are assessed. They provide a structured vocabulary for identifying, categorizing, and addressing quality issues, ensuring that discussions about “data quality” are precise and measurable rather than abstract.
🗃️ ⚙️ Testing Guidelines
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