Microsoft Fabric Updates Blog

Service Principal Support in Semantic Link: Enabling Scalable, Secure Automation

Microsoft Fabric continues to evolve as a unified platform for data professionals, and the latest update to Semantic Link introduces Service Principal support—a key enhancement for teams looking to automate and scale their data workflows securely. 

Semantic Link enables seamless integration between notebooks and semantic models, allowing users to query and analyze data directly from their models. With the introduction of Service Principal authentication, organizations can now run notebooks and pipelines without relying on user credentials, unlocking new levels of reliability and security. 

Automating Workflows with Confidence

Service Principals are Azure identities designed for applications and automation tools. By supporting these identities, Semantic Link now allows notebooks to be triggered by Fabric Pipelines or the Job Scheduler API using non-interactive authentication. Meaning scheduled jobs can run consistently, even when no user is signed in—ideal for production-grade deployments and enterprise-scale operations.

For more advanced scenarios, teams can also manually configure Service Principal credentials to access the full feature set of Semantic Link. This flexibility ensures that both automated and interactive workflows are supported, while maintaining strict access controls.

You can set service principal authentication with Key Vault values: 

import sempy.fabric as fabric  
from sempy.fabric import set_service_principal  

dataset = "<replace-with-your-dataset-name>"  
workspace = "<replace-with-your-workspace-id>" 

tenant_kv = ("<replace-with-your-tenant-vault-url>", "<replace-with-your-tenant-secret-name>")  
client_kv = ("<replace-with-your-client-vault-url>", "<replace-with-your-client-secret-name>")  
client_cert_kv = ("<replace-with-your-client-certification-vault-url>", "<replace-with-your-client-certification-secret-name>")  

with set_service_principal(tenant_kv, client_kv, client_certificate=client_cert_kv): fabric.run_model_bpa(dataset, workspace=workspace) 

Benefits of Service Principal support for Semantic Link 

Service Principal support in Semantic Link is a game-changer for organizations operating at scale. This enhancement is especially valuable for enterprises that: 

  • Schedule or trigger notebooks using Semantic Link as an integral part of their broader data pipelines. 
  • Demand secure, credential-free connections to semantic models to uphold stringent security policies.
  • Face the challenge of scaling automation and data processes across multiple teams and complex environments.

Service Principal support streamlines authentication for Semantic Link, reducing manual credential management and enabling secure, automated workflows across teams and environments. 

Learn More

To get started with Service Principal authentication in Semantic Link, including version requirements and setup instructions, refer to the official documentation: Semantic Link Service Principal Support

Entradas de blog relacionadas

Service Principal Support in Semantic Link: Enabling Scalable, Secure Automation

abril 7, 2026 por Premal Shah

Organizations today manage data across multiple storage systems, often in formats like CSV, Parquet, and JSON. While this data is readily available, turning it into analytics-ready tables typically requires building and maintaining complex ETL pipelines. Shortcut transformations remove that complexity. With Shortcut transformations, you can convert structured files referenced through OneLake shortcuts into Delta tables … Continue reading “Shortcut transformations: Turn files into Delta tables without pipelines (Generally Available)”

abril 6, 2026 por Jovan Popovic

Fabric Data Warehouse now supports the ANY_VALUE() aggregate, making it easier to write readable, efficient T-SQL when you want to group by a key but still return descriptive columns that are functionally the same for every row in the group. What is ANY_VALUE()? ANY_VALUE() is an aggregate or analytic function that returns an arbitrary value … Continue reading “Use ANY_VALUE() for simpler grouping of results in Fabric Data Warehouse (Generally Available)”