Data modeling is crucial due to the increased number of data sources, diverse data consumers, and the need for optimization (both speed and cost). Mike Kahan briefly showed different modeling approaches, e.g., Star Schema and Data Vault 2.0.
At the end, he delves into hybrid approaches. Have you used hybrid approaches before? If so, which modeling approaches did you mix together and how?