The article is useful, and I appreciate you putting it together and sharing it within the community. I have one important question: since you suggest that the data in the Gold layer is denormalized (or modeled with dimensional modeling), what is the recommended data modeling approach for the Silver layer? Did you mean to normalize the data there before denormalizing it in Gold? While it comes with pros and cons, I'm curious why Databricks doesn't provide specific recommendations for Silver layer data modeling as they do for Gold.
