Deep Dive into Editing Semantic Models in the Power BI Service (Generally Available)
Mac users, rejoice — semantic model editing in the Power BI service is now generally available, bringing core modeling capabilities to the web.
Create New Semantic Models in the Web
You can now create new import semantic models from over 100 connectors, all within your browser.
Getting started:
1. Navigate to the Create page and select Get data.
This will launch the modern Power Query Get Data experience for you to discover and connect to data including sources like Excel, SharePoint, SQL Server, and more!
2. Choose your data source and configure connection settings.
Option 1: Create a report
This option takes you into the report editing experience in the Power BI service. Here, you can immediately start building a report on top of your newly created semantic model. The report editor provides all the familiar tools for designing visuals, adding filters, and customizing your report layout—right in the browser.
Option 2: Only create a semantic model
Selecting this option creates just the semantic model, without launching the report editor. You’ll land in the model editor in the web, where you can make further edits to your semantic model. This is ideal if you want to refine your semantic model, add relationships, create DAX measures, or configure row-level security before building reports.
Option 3: Transform data
This option allows you to perform rich data transformations using the modern Power Query editor in the web. After completing your transformations, you can choose to either create a report or a semantic model only, depending on your workflow.
Edit Existing Semantic Models in the Web
Not only can you create new import semantic models in the Power BI service, you can also make core modeling changes to your existing semantic models—all without leaving your browser. This includes many capabilities such as:
Manage relationships: between tables in the properties pane, diagram view, or the Manage relationships dialog. This includes support for autodetecting relationships for faster modeling.
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