Pipelines, visualisation, governance
Your Power BI reports slow down before you add a single visual—if your data model is wrong. Enterprise teams chasing performance need star schemas, normalized facts, and single-direction relationships. The architecture choices you make here determine whether you scale to billions of rows or grind to a halt at millions.
Enterprise BI implementations still trip over basic schema design. Star schemas—one fact table, direct dimension links—remain the performance winner for Power BI at scale. Snowflake schemas and many-to-many relationships sound sophisticated but typically slow things down.
Three-quarters of American restaurant orders in 2024 were consumed outside traditional dining rooms, according to National Restaurant Association data. The shift reflects the maturation of third-party delivery platforms and changing consumer priorities, particularly among younger demographics who now view delivery as essential rather than occasional convenience.
Your Power BI reports slow down before you add a single visual—if your data model is wrong. Enterprise teams chasing performance need star schemas, normalized facts, and single-direction relationships. The architecture choices you make here determine whether you scale to billions of rows or grind to a halt at millions.
Enterprise BI implementations still trip over basic schema design. Star schemas—one fact table, direct dimension links—remain the performance winner for Power BI at scale. Snowflake schemas and many-to-many relationships sound sophisticated but typically slow things down.
Three-quarters of American restaurant orders in 2024 were consumed outside traditional dining rooms, according to National Restaurant Association data. The shift reflects the maturation of third-party delivery platforms and changing consumer priorities, particularly among younger demographics who now view delivery as essential rather than occasional convenience.