XMLA Endpoints

Plan and Implement a Data Analytics Environment with Microsoft Fabric

Shahzad Mian

Content Developer, DataCamp

What is an XMLA Endpoint?

Fabric connected to several Tools

Plan and Implement a Data Analytics Environment with Microsoft Fabric

XMLA Endpoints Use Cases

  1. Bulk updates: Such as updating the column type for 20 semantic models
  2. Automated refresh activities: E.g. refreshing a Power BI model when a specific event happens
  3. Advanced analytics and monitoring: Like monitoring for refresh issues in the entire tenant
  4. Simulated activity: For example, for stress testing a Fabric capacity when evaluating licenses
  5. Third party tools connection: From SQL Server Management Studio (SSMS) to Python scripts
Plan and Implement a Data Analytics Environment with Microsoft Fabric

Example of an XMLA Connection

Endpoint URL in Fabric

SSMS Connecting to the Endpoint

1 Credits: https://learn.microsoft.com/en-en/power-bi/enterprise/service-premium-connect-tools
Plan and Implement a Data Analytics Environment with Microsoft Fabric

Example of an XMLA Connection

Python Read Power BI data in Python

Excel Open Power BI report in Excel

1 Credits: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-analyze-in-excel
Plan and Implement a Data Analytics Environment with Microsoft Fabric

Best Practices

  • Principle of least privilege: don't enable the endpoint if not necessary
  • Implement proper security measures to restrict access
  • Monitor endpoint usage for performance impact as it could slow down the Fabric capacity

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1 Credits: rawpixel.com on Freepik
Plan and Implement a Data Analytics Environment with Microsoft Fabric

Let's practice!

Plan and Implement a Data Analytics Environment with Microsoft Fabric

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