Maximizing Microsoft Fabric Capacity and PowerBI Licensing Cost:

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As businesses grow, so do their reporting needs, and managing Microsoft Fabric capacity alongside Power BI licensing can become quite complex. With the increasing demand for robust data models, seamless report generation, and broad access across user bases, it’s essential to make the right choices around capacity and licensing to ensure performance, scalability, and cost efficiency.

In this blog post, we’ll dive into some common questions surrounding Microsoft Fabric capacity and Power BI Pro licenses. We’ll explore the best practices for managing capacities, the intricacies of semantic model access, and the most effective ways to handle a large user base without overspending on individual licenses.

Let’s break this down through a series of questions and answers to provide a clear roadmap for navigating your Power BI and Fabric capacity needs.

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Q1: I have an F2/F4/F8/F16/F32(any one of these) Fabric capacity used for running pipelines, and notebooks etc and creating semantic models in OneLake. Can Power BI Pro users access reports and connect to these models even if they are not assigned to a Fabric capacity?

A: Yes, with the right permissions in place.

Your F2 or any which is less than F64 SKU, Fabric capacity is doing the heavy lifting by handling pipelines, data storage, and creating semantic models in OneLake. Power BI Pro users can still create, refresh, and share reports without the need for a specific Fabric capacity to be assigned to their workspaces because they are operating in shared capacity by default.

However, even though these users are not directly connected to a Fabric capacity, Power BI Pro users can still access semantic models created in the F2-F32 Fabric capacity, provided a few conditions are met:

• Same tenant: The semantic models and reports must be within the same tenant. Tenants serve as the overarching boundaries within which data and resources are shared.

• Permissions: Ensure the Pro users have Build or Read permissions on the dataset hosting the semantic model. This gives them the ability to connect to and use the models in their reports.

• Workspace settings: The workspace containing the semantic models must allow access from shared or external workspaces for cross-capacity interaction.

This setup allows organizations to maximize their Fabric capacity while enabling Pro users to work efficiently. However, keep in mind that free users (those without Power BI Pro licenses) won’t be able to refresh or interact with the data unless the reports are hosted in a Premium Fabric capacity, which supports free-user access. In shared capacity, they would be restricted to viewing content only if it’s published to them through other means.

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Q2: With a user base of 1000+ employees, what is the best way to manage Power BI licenses? Should I assign Power BI Pro licenses to each user, or would it make more sense to use a larger Fabric capacity like F64?

A: For large-scale environments, using a Premium Fabric capacity like F64 is a more scalable and cost-effective solution.

Managing Power BI Pro licenses for over 1000 users is not only expensive but also introduces administrative complexities. Let’s explore why transitioning to an F64 capacity makes more sense in this scenario:

1. Cost-efficiency: Assigning individual Power BI Pro licenses for 1000+ users can lead to significant costs over time. Additionally, with each Pro user relying on shared capacity for refreshing and hosting reports, you may encounter performance bottlenecks as the system struggles to handle the load of a large user base. Free users, in particular, are heavily limited under shared capacity as they won’t be able to refresh or interact with data unless it’s published in a Premium workspace.

2. Scalability with F64: By shifting to an F64 Premium Fabric capacity, you gain the advantage of:

   • Unlimited free-user access: Free users can view reports in workspaces tied to Premium capacity without needing individual licenses, drastically cutting down licensing costs.

   • Performance: Dedicated resources in the F64 capacity ensure reports are generated and refreshed efficiently, even under heavy workloads. This is critical when you’re dealing with complex semantic models or high user traffic.

   • Centralized governance: Hosting all reports in a dedicated Premium workspace simplifies report management and governance. You gain better control over refresh schedules, security, and performance.

3. Ideal for enterprise environments: For large user bases like yours, transitioning to F64 or higher capacity supports enterprise-scale operations, making it easier to manage thousands of users while ensuring smooth performance across the board.

For smaller teams (eg: fewer than 100 users) or less complex use cases, assigning Power BI Pro licenses might be a viable, cost-effective option. However, as user numbers increase or if workloads become more demanding, moving to a Premium Fabric capacity is the logical step for both performance and cost management.

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Q3: What exactly is Power BI shared capacity, and can any user view reports hosted in shared capacity?

A: Shared capacity refers to the default resource pool that Power BI provides to Pro users who are not assigned to a dedicated Premium capacity.

Let’s unpack this further:

• Shared capacity: This is a multi-tenant environment where resources (such as CPU, memory, and storage) are pooled and shared across multiple users and organizations. It’s the default mode of operation for Power BI workspaces that don’t have dedicated Fabric or Premium capacity assigned to them.

• Access limitations: Only Power BI Pro users can create, view, and interact with reports hosted in shared capacity. These users must be explicitly granted permissions (such as workspace member or app access) to access reports. Free users cannot view or refresh reports in shared capacity unless the reports are published in a workspace backed by a Premium Fabric capacity.

• Performance considerations: While shared capacity works well for smaller teams or simpler workloads, it has its limitations:

  • Resource constraints: Since resources are shared across many users, performance can degrade during peak usage periods, especially when handling large datasets or complex queries.

  • Limited refreshes: Shared capacity allows up to 8 dataset refreshes per day, which may not be sufficient for real-time or frequent data updates.

To unlock free-user access, better performance, and more refreshes, transitioning to Premium Fabric capacity is a smart move.

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Q4: Is it true that Power BI Pro users can access semantic models created in another Fabric capacity within the same tenant, even though they aren’t assigned to that specific capacity? How does this cross-capacity access work?

A: Yes, Power BI Pro users can access semantic models in a different Fabric capacity within the same tenant, as long as the right permissions are set.

Here’s how cross-capacity access works:

• Tenant structure: A tenant serves as the boundary that governs all Power BI resources within an organization. Different Fabric capacities, like F2 or F64, can exist within the same tenant, and resources such as datasets or semantic models can be shared across them, provided permissions are correctly configured.

• Permissions: To access a semantic model hosted in another Fabric capacity, Pro users need Build or Read permissions on that dataset. These permissions allow users to connect to the model via DirectQuery or Live Connection, using the model in reports hosted in their own workspaces.

• Capacity isolation with tenant interaction: While each Fabric capacity provides isolated computational resources, they are not entirely “separate territories.” Data remains within the tenant boundary, and cross-capacity access is permitted through tenant-level security and permissions. The capacity hosting the semantic model handles the computation, while the user’s report runs in their own capacity (shared or Premium).

This flexibility allows organizations to leverage resources across multiple capacities while maintaining security and performance standards.

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Q5: Should I continue using shared capacity, or is it time to upgrade to a Premium Fabric capacity for my reporting needs?

A: It depends on your scale and performance requirements. Here’s a comparison to help you decide:

Shared capacity is suitable for small teams or simpler reporting needs where only Power BI Pro users need to access reports. However, as your organization scales and you require more performance and access flexibility, moving to a Premium Fabric capacity (like F64) is a wise investment. It ensures smoother operations, supports more refreshes, and grants free user access, reducing the need for costly individual Pro licenses.

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Conclusion:

Managing your Microsoft Fabric capacity and Power BI licensing strategy is crucial for optimizing performance, ensuring scalability, and managing costs as your organization grows. For organizations with large user bases or complex reporting needs, moving to a Premium Fabric capacity like F64 is the best choice(yet it depends on the work load 😌), as it provides dedicated resources, supports free-user access, and simplifies report management.

By carefully considering your organization’s needs—whether you’re a small team working in shared capacity or a large enterprise needing the scalability of Premium Fabric Capacity—you can ensure that your Power BI environment is future-proofed and ready to handle the demands of modern data management.

Thanks For Reading !!! 😊

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