Power BI Tutor

Introducing data model editing on the web! A first step towards modeling parity in the Service. Feature overview Setup instructions Features & scenarios to try Behavior to note Data model editing administration Limitations and known issues More information Feature overview For many years Power BI Desktop users have been able to configure and modify aspects of their data models in the  model view . However, these model view capabilities have been specific to Desktop with no additional data model view or edit support in Service. Now we are introducing data model editing in the Service, allowing Service users a first step towards viewing and modifying their existing data models on the web. In this preview you can modify your existing data models on the web through actions such as editing relationships, creating DAX measures, and managing row-level security (RLS). We will continue to regularly release updates to this experience with the eventual goal of parity in modeling capabilit...

We are excited to announce the public preview of Power BI Dataset Scale-Out, a dataset feature enabling enterprise customers to support large-scale Power BI solutions without any additional administrative overhead or infrastructure complexity. The idea is to let Power BI scale the number of dataset replicas and load-balance client connections dynamically to meet query processing demands at critical times up to the maximum available compute resources (vCores) of the underlying Premium capacity. During low-demand times, Power BI can automatically scale back to decrease the number of replicas again. In this way, enterprise customers can easily handle demand peaks in a cost-efficient and worry-free way and maximize their return on investment (ROI) in Power BI Premium compute resources. Moreover, Power BI Dataset Scale-Out improves data refresh scenarios through refresh isolation in which a separate read-write replica of the dataset is refreshed without disrupting users. Reports and client ...

We are excited to announce the public preview of Multiple Audiences in the Power BI Apps, one of the highly requested features from the community. With multiple audiences for an App, now Power BI App author can create multiple audience groups within the same App and assign different permissions to each group. Prior to this feature, to create multiple Apps for different audiences, the App authors had to set up different workspaces to register Apps for each audience. This workspace level isolation resulted in content duplication and operational overhead for the App Authors. With this new capability, the authors can decide which content artifact such as reports, dashboards, etc. should be shared with specific audience groups within an App using a single workspace. This allows fine-grained access permissions for the App consumers who can consume various artifacts in the App based on their group permissions and minimizes operational overhead for the App authors. Note : We have made some cha...

At Power BI, we’ve committed to providing powerful enterprise modeling capabilities to Power BI Premium. As part of our product journey over the past five years, this commitment has brought numerous Azure Analysis Services (AAS)  semantic modeling features  for performance and management to Power BI Premium. Today, we are excited to announce the additional  Analysis Services server properties  that are now publicly available in Power BI Premium and Power BI Embedded as configurable workspace settings. For customers that are considering migrating from Azure Analysis Services to Power BI Premium, it’s another example of how we ensure you not only have better performance in Power BI Premium, but also achieve similar settings behaviors after your dataset migration. In addition to the  existing capacity settings , administrators can now modify workspace settings of the most commonly configured server properties. This capability allows customers to implement granular ...

We know this is a big change for you. We aim to roll this out conservatively to get your early feedback and make any needed adjustments. This is currently in preview starting with Power BI Desktop’s November release. Please give this a try by turning on the preview switch: File > Options and settings > Options > Preview Features > New format pane. Feel free to add your comments directly to this blog post.   New pivot icons We’ve updated the format tab icon and added a descriptive sub-title to help new users better locate the format pane. Previously, it was hard to find the format page settings, now we’ve added a new format page icon that reflects when no visuals are selected, the canvas is ready for formatting. Old format pane New format pane   Moving the visualization types gallery : To address the limited vertical space on the format pane, we’ve moved the visualization types gallery to be present only on the “Build” tab. Old format pane New format pane ...

We are excited to announce the public preview of Insights! The Insights feature helps users easily find and explore insights such as anomalies, trends, and KPI analysis in their data as they interact and consume their reports. It proactively notifies a user if there are interesting insights in their reports and provides explanations for the insights. It works out of the box on any report so consumers can automatically get ins ights without any setup or configuration by the creators.  Insights is supported for reports in Premium and Premium Per User (PPU) workspaces. You can also use this capability in non-premium workspaces if you have a PPU license. When you open a report, Power BI automatically runs insights analysis and shows you toast notifications if there are Top insights for visuals in your current report page. Top insights are those that are noteworthy based on factors like recency, significance. For example, a huge anomaly on the previous day or steep tren...