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ALM Toolkit for Power BI: Schema Comparison and Deployment
ALM Toolkit enables schema comparison and deployment between Power BI datasets, essential for managing model changes across environments.
Core Features
capabilities:
- Compare schemas between datasets
- Identify differences in tables, measures, relationships
- Selective deployment of changes
- Support for XMLA endpoints
- Works with local and cloud models
Common Scenarios
use_cases:
promote_changes:
description: Move changes from dev to prod
source: Development dataset
target: Production dataset
compare_versions:
description: Identify what changed
source: Previous version (backup)
target: Current version
sync_environments:
description: Keep environments aligned
source: Production
target: Test (to reset)
Using ALM Toolkit
Command Line Deployment
# Compare and deploy
ALMToolkit.exe `
-Source "powerbi://api.powerbi.com/v1.0/myorg/DevWorkspace" `
-SourceDB "SalesModel" `
-Target "powerbi://api.powerbi.com/v1.0/myorg/ProdWorkspace" `
-TargetDB "SalesModel" `
-Update
# Generate comparison report
ALMToolkit.exe `
-Source "Model_v1.bim" `
-Target "Model_v2.bim" `
-Report "comparison.json"
Selective Deployment
deployment_options:
skip_objects:
- Perspectives
- Roles (keep target security)
- Data sources (different per environment)
include_objects:
- Tables
- Measures
- Relationships
- Calculation groups
Integration with DevOps
# azure-pipelines.yml
steps:
- task: PowerShell@2
displayName: 'Compare and Deploy'
inputs:
script: |
ALMToolkit.exe `
-Source "$(Build.SourcesDirectory)/model.bim" `
-Target "powerbi://api.powerbi.com/v1.0/myorg/$(Environment)Workspace" `
-TargetDB "$(DatasetName)" `
-Update `
-LogFile "$(Build.ArtifactStagingDirectory)/deployment.log"
Best Practices
workflow:
- Always compare before deploying
- Review changes with stakeholders
- Keep backups of target state
- Test in non-production first
governance:
- Document deployment decisions
- Track schema versions
- Audit all deployments
- Maintain rollback procedures
Conclusion
ALM Toolkit is essential for Power BI DevOps:
- Visual schema comparison
- Controlled deployments
- Integration with CI/CD
- Environment management