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Looking to build more consistent, scalable data models? This technical guide offers practical standards for designing fact and dimension tables, applying naming conventions and implementing key patterns like medallion architecture.
Our Data Modeling Standards Technical Guide is built for data teams working across modern platforms like Azure, Databricks and Microsoft Fabric. Whether you’re modernizing a legacy system or starting fresh, these best practices help reduce rework, improve performance and support analytics readiness. |
