Three questions to answer before choosing a Power Platform architecture: the use case, the data volume, and the users. A rose-distribution example shows when to process data in Azure and what belongs in Dataverse.

One named formula that combines User(), Office 365 profile data, and SharePoint group roles, so every screen in a Power App knows who the user is and what they can do.

Editing Power Apps by exporting and repacking .msapp files is slow and error-prone. Storing the source in GitHub brings version control, branches, reviews, and automation to low-code apps.

Why large Power Automate data loads get throttled, how Dataverse Dataflows handle volume on the server instead, and how to combine them so a flow starts a dataflow the moment a file arrives.

Why this blog exists: plain explanations of how to store, move, secure, and use data well, drawn from real Power Platform and Azure work.