mcp-engine-schema-authoring

Safely modifying a Power BI model schema requires planning and executing changes using dependency-aware validation checklists. This approach performs impact analysis before updating relationships and hierarchies, ensuring data integrity and preventing structural errors.

The best way to update multiple relationships and hierarchies is using a step-by-step guided process that re-evaluates structural impacts before each modification. This dependency-aware execution prevents data integrity loss in complex Power BI environments.

Adding a new date calendar with proper hierarchy levels involves creating custom calendar tables and defining their hierarchical structures within the Power BI model. This schema modification is executed safely by following specific validation checks to maintain model integrity.

Deleting tables and columns in Power BI can cause structural errors if dependency impacts are not evaluated first. You can delete model objects safely by following a strict modification ordering checklist that validates dependencies beforehand.

Dependency management does work when changing partitions in Power BI models. The schema modification process supports partition updates by guiding validation and impact analysis to ensure structural changes do not break existing data integrity.