The theory of Power BI Semantic Model connectivity defines a tripartite classification based on data storage architecture: Import stores local copies within the PBIX file, DirectQuery executes queries against external source systems without ingestion, and Live Connection leverages shared semantic models hosted exclusively in the service. The core mechanism dictates that model flexibility is inversely proportional to autonomy; full manipulation freedom exists for imported local schemas, while DirectQuery restricts changes to those owned by the user, and Live Connections impose zero modeling flexibility due to immutable frozen models in the cloud. Consequently, performance characteristics shift from deterministic optimization via local caching in imports to variable latency dependent on network topology, source system architecture, and database execution plans when utilizing external connections.
The theory of Power BI Semantic Model connectivity defines a tripartite classification based on data storage architecture: Import stores local copies within the PBIX file, DirectQuery executes querie…