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The transition from Power BI Premium SKUs to Microsoft Fabric capacity SKUs has sparked numerous questions and concerns within the data analytics community. As of March 2024, Microsoft announced the phasing out of Power BI Premium SKUs in favor of Fabric capacities within Azure, aiming to streamline purchasing options and simplify management. This guide provides a detailed overview of the migration process, key considerations, and best practices.
The primary driver behind this shift is consolidation. Power BI Premium was managed through Microsoft 365, while Microsoft Fabric capacities leverage Azure's infrastructure. This integration allows organizations to benefit from Azure's robust cost management, quota systems, and governance features, providing a unified platform for data and analytics.
Enterprise Agreements: Customers can continue renewing Power BI Premium until their agreement expires. Post-expiration, migration to Fabric capacities is mandatory.
Sovereign Cloud Users: Power BI Premium remains available, as Fabric is not yet supported in sovereign clouds.
Understanding Fabric Capacities: Comparing SKUs and Costs
It's crucial to understand the relationship between Power BI Premium SKUs and their Fabric capacity equivalents. Here's a general overview:
Power BI Premium P SKUs: Equivalent to Microsoft Fabric F SKUs.
Cost Implications: Fabric capacities offer different pricing models. Evaluate your current Power BI Premium usage and compare it with Fabric capacity pricing to estimate potential cost changes. Refer to the Azure pricing calculator for detailed estimates.
- In Power BI, click the question mark icon and select "About Power BI."
- Identify your data storage region.
workspace settings, Power BI
- Ensure your Fabric capacity is in the same region as your current Power BI Premium capacity to minimize latency.
-Navigate to "Workspace Settings" in Power BI.
-Under "License Info," switch from Power BI Premium capacity to Microsoft Fabric capacity.
-Select an appropriate Fabric capacity (F SKU).
Cross-Region Migrations: If your workspace contains Fabric items and you're migrating across regions, manual intervention is required.
Pre-Migration: Delete existing Fabric items.
Post-Migration: Recreate them in the new region.
Git Integration: Utilize Git integration for rapid redeployment of Fabric items where possible
Microsoft-Provided Notebook: Microsoft offers a notebook for automated migrations. Ensure Fabric capabilities are enabled to use it.
Migration-to-Microsoft-Fabric-Capacities
Small vs. Large Semantic Models: Large models may require optimization before migration due to potential performance impacts.
Regional Constraints and Latency: Cross-region migrations are not automatic and can introduce latency. Ensure your Fabric capacity is in the same region as your data.
Data Residency and Compliance: Be mindful of data residency requirements and compliance regulations when migrating across regions.
Performance Optimization: Monitor performance after migration and adjust capacity as needed.
Best Practices and Recommendations
Planning and Preparation: Thoroughly plan your migration timeline and identify potential roadblocks.
Testing in a Development Environment: Test the migration in a non-production environment before implementing it in production.
Monitoring Post-Migration: Continuously monitor performance and resource utilization after migration.
The migration from Power BI Premium to Microsoft Fabric represents a strategic move towards a unified and scalable data analytics platform. By understanding the key steps, considerations, and best practices, you can ensure a smooth transition and leverage the full potential of Microsoft Fabric.
Microsoft Fabric Documentation
Automating Fabric Migration Documentation
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