Practical guidance on Power Platform from our Microsoft MVP team.
How to set up a Center of Excellence for Power Apps that enables citizen developers without losing control of your environment, data and licensing.
Practical decision criteria for choosing between Power Automate and Azure Logic Apps — based on volume, ownership model, complexity and cost.
Dataverse modeling patterns — when to use related tables vs lookups, polymorphic vs typed relationships, virtual tables, elastic tables and Activity entities — explained with real examples.
How to design Power BI semantic models that scale across hundreds of reports and thousands of users — star schema, calculation groups, RLS, incremental refresh and Direct Lake.
Patterns and pitfalls for building Copilot Studio agents that actually work in production — topic design, generative answers, plugins, escalation and analytics.