Отправлено: 30.06.25 15:07. Заголовок: What are Power BI strategies for enterprise semantic models?

A fundamental strategy is to centralize the data logic by using shared datasets which reports can connect to, for consistency as well as streamline report performance and loading. This eliminates data redundancy for the report author, and ensures a consistent single version of truth across departments.

Applying role-based row-level security (RLS) and object-level security (OLS) helps maintain confidentiality of the information, especially when serving different confidential business units with a single model. Leveraging composite models (both import mode and DirectQuery mode), optimizes performance and real-time access capabilities.

Having a consistent, logical, and usable naming convention, using measure folders and description fields enhances usability for end users. Using tools like; Tabular Editor and the ALM Toolkit for easy deployment, and metadata management/best practice governance considerations, mitigates challenges of version control when using a semantic model for governance and CI/CD workflows.

Professional users wanting to develop and master these best practices, will significantly benefit from a structured Power BI Course in Pune to learn how to develop enterprise class semantic models. The course uses best practices to architect centralized data models; sharing methods for designing correctly, securing them, and maintaining them in a central hub.