📄️ 📊 DQ Checks
Data Quality checks confirm that your data meets the expected business and technical rules at every layer of the warehouse. Commonly referred as Data Validation, Data Integrity, or Data Consistency, Data Quality checks are a critical part of data management and ensure that your data is accurate, reliable, and consistent.
📄️ 📊 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.
📄️ 🗂️Data Model & Architecture
🧩 Sample Employee Data Model – Entity Relationships
🗃️ 📑 Test Approaches
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