What Are the Best Practices for Databricks Medallion Architecture?
Learn why medallion architecture fails quietly and how to fix it. Silver vs Gold decision rule, Unity Catalog structure, and 3-question diagnostic from real implementations. The best practices for Databricks medallion architecture come down to discipline, not design. Silver should handle cleaning, conforming, and typing. Gold should handle anything that requires domain knowledge: joins,…
The best practices for Databricks Medallion architecture hinge on discipline, not design. The key is to separate Silver, Gold, and Bronze layers using a domain-first Unity Catalog layout. Silver should focus on cleaning, conforming, and typing data. Gold should handle domain knowledge-based tasks like joins, aggregations, and business logic.
Every transformation should undergo the does it require domain knowledge? decision rule. Running a regular 3-question health check on the Gold layer ensures its maintenance. The architecture's failure isn't due to its design but convenience. Engineers often place logic in the wrong layer, causing the boundaries to erode over time.
To fix this, use a domain-first approach, apply the decision rule at every transformation, and conduct a regular 3-question health check on the Gold layer.
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