📄️ 📋 Test Approaches Catalog
This page lists all available X-AutoMate Test Approaches — the standardized checks you can apply across every layer of your data warehouse. Each approach targets a specific DQ Dimension and can be configured for your tables, columns, and business rules.
📄️ 🗂️Data Model & Architecture
🧩 Sample Employee Data Model – Entity Relationships
📄️ 🔍 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.
📄️ 🏗 Core Layer
The Core Layer is the main integration and transformation layer — where data from multiple sources is deduplicated, enriched, and prepared for reporting and analytics.
📄️ 📜 Semantic Layer
The Semantic Layer 🗂️ is the reporting and presentation layer where data is aggregated 📊 and transformed 🛠️ for analytics and reporting.
🗃️ 🧩 DWH - Other Components
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