In times of continuously growing data volumes and changing data sources and usage due to advancing digitalization, we need high-performance data architectures. These ensure high data quality and integrity as a foundation for AI, Data Science, Analytics, BI, and automation. We will look at how we at taod efficiently combine various approaches such as Medallion architecture, Data Vault 2.0 (Linstedt), and dimensional modeling (Kimball). We will explore how we implement this using Microsoft Fabric, leveraging its various components to achieve optimal results.