Hi @rodrigocms, Certainly! Power BI provides an XMLA endpoint that allows you to interact with semantic models.
Here are some key points to consider:
- XMLA Endpoint in Power BI:
- The XMLA endpoint is used for communication between client applications and the engine that manages your Power BI workspaces and semantic models.
- It follows the XML for Analysis (XMLA) protocol.
- Data sent over the XMLA protocol is fully encrypted.
- By default, read-only connectivity using the endpoint is enabled for the Semantic models workload in a capacity.
- With read-only access, data visualization applications and tools can query semantic model data, metadata, events, and schema.
- Read-write operations using the endpoint can be enabled, allowing for more advanced semantic model management, governance, debugging, and monitoring.
- When enabled, semantic models have more parity with Azure Analysis Services and SQL Server Analysis ....
- Use Cases:
- If youโre working with PySpark in Databricks, you can leverage the following approaches:
Remember that using the XMLA endpoint is subject to different scenarios, such as single-user applications (e.g., developer tools, admin scripts) and multi-user applications (e.g., middle-tier applications integrating semantic models into business solutions). Premium Per User (PPU) workspaces also have specific requirements for user sign-in and access tokens.
Feel free to explore these options based on your specific use case and requirements! ๐