Get information from Power BI via XMLA

[rodrigocms]

Hello everyone 

I am trying to get information from Power BI semantic models via XMLA endpoint using PySpark in Databricks.

Can someone help me with that?

tks

[Kaniz]

Hi @rodrigocms, Certainly! Power BI provides an XMLA endpoint that allows you to interact with semantic models.

Here are some key points to consider:

1. 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 ....
2. Use Cases:
   • If you’re working with PySpark in Databricks, you can leverage the following approaches:
     • Spark Native Connector: This connector enables Spark users to access Power BI tables and measures. It’s language-agnostic and supports PySpark, Spark SQL, R, and Scala. Semantic models are represented as Spark namespaces, and Power BI tables are transparently exposed a...2.
     • CData JDBC Driver: You can use the CData JDBC Driver to connect to and query Power BI XMLA data from a Spark shell. The driver offers optimized data processing for interacting with live Power BI XMLA data3.
     • Fabric Semantic Link: Fabric includes the sempy Python library, which can be used in Fabric notebooks to access any Power BI dataset (semantic model). You can execute DAX queries against the model using Python or Spark4.

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! 🚀

[Kaniz]

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