Microsoft continues to expand the capabilities of Power BI, introducing impactful updates in the areas of data modeling and mobile reporting. This blog breaks down recent enhancements showcased by the Power BI team, from creating semantic models in Direct Lake mode to mobile report linking, live model editing, and integrated Fabric Notebook tools.
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Create Semantic Models in Direct Lake Mode with Power BI Desktop
Now in public preview, you can create Direct Lake semantic models directly within Power BI Desktop. This feature brings greater flexibility and performance by allowing users to connect to Lakehouse and Warehouse tables in OneLake, bypassing the SQL endpoint.
Key Capabilities:
- Enable the Direct Lake preview feature in Options > Preview features
- Add Direct Lake tables from the OneLake catalog
- Name semantic models and select specific tables from Lakehouses or Warehouses
- Establish relationships using drag-and-drop interface
- Combine data from multiple sources within OneLake, similar to import models
Important Considerations:
- No data preview during relationship creation
- Cardinality defaults to many-to-one, with a single cross-filter direction
- Users should manually validate and adjust relationship settings
Direct Lake semantic models support DAX Query View for analyzing table data and TMDL View for scripting and editing model elements. You can also create visuals in Power BI Desktop using a live connection to these models, with Copilot offering assistance in building DAX queries and report pages.
Improved Mobile Reporting with Linked Semantic Models
Power BI Mobile Apps now allow users to view which reports are connected to a semantic model, directly from within the app. This builds on previous capabilities like tracking model status and triggering refreshes.
What’s New:
- Access semantic models in a workspace using the Semantic Models filter
- Use the Linked Content pane to view all reports associated with a semantic model
- Identify reports from different workspaces along with their origin
This feature enhances visibility and fosters trust in shared data assets by ensuring consistency across reports derived from the same model.
Live Edit Semantic Models in Power BI Desktop from the Web
Users can now launch Power BI Desktop directly from the web to live edit Direct Lake semantic models. This Office-like experience allows changes to be applied immediately in the Fabric workspace without needing to save manually.
Editing Features Include:
- Rename tables or columns
- Add or remove tables from Lakehouses
- Create measures and calculation groups
- Run DAX queries in DAX Query View with IntelliSense support
This capability streamlines development and encourages seamless transitions between web and desktop environments.
Semantic Model Version History for Pro and Premium Workspaces
Semantic model version history, previously available only for Premium workspaces, is now extended to Pro workspaces. This feature enables users to revert to previous versions of their models with ease.
Benefits:
- Identify and resolve issues quickly by restoring earlier versions
- View Office-like version history within the Power BI Service
- Maintain a reliable development workflow across teams
This feature is especially valuable in collaborative environments where multiple users contribute to the evolution of a data model.
Fabric Notebooks Integration with Semantic Models
Fabric Notebooks now support one-click integration with Power BI semantic models via Semantic Link. This makes advanced analysis and diagnostics more accessible.
Available Pre-Configured Notebooks:
- Best Practice Analyzer
Evaluates your model against over 60 expert-defined rules, covering areas like DAX quality, formatting, performance, and error prevention. - Memory Analyzer
Provides detailed memory and storage statistics to identify optimization opportunities within your semantic model.
Each notebook is pre-configured and ready to run with a single click. Users can switch between the notebook and modeling environment to implement suggested improvements immediately.
Additionally, Microsoft has introduced the Power BI Community Notebooks Gallery, where users can explore and contribute innovative notebook solutions for diverse Power BI scenarios.
Summary
These new features significantly enhance the Power BI ecosystem by improving modeling flexibility, boosting mobile usability, enabling live model editing, and simplifying performance analysis. Whether you’re building complex models or managing business-critical dashboards, these tools can help streamline your workflow and ensure data accuracy.
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