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How to build Power BI semantic models that scale: star schemas, relationships, snapshot tables and modeling choices for enterprise data.
How to materialize point-in-time snapshots from a Power BI semantic model into a Fabric lakehouse using notebooks, semantic-link, and scheduled pipelines.
Pick the right Dataverse connection method, build a star schema over CRM entities, and ship pipeline and service dashboards on Dynamics 365 data.
Single-column rules, cardinality types, why bidirectional filtering breaks star schemas, and how to fix silent calculation errors in your model.
Star schema vs snowflake schema in Power BI — how VertiPaq compression, filter propagation, and DAX performance differ, and when each design applies.