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Merge pull request #50236 from theresa-i/cicd-updates
Bug fixes
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learn-pr/wwl-data-ai/implement-cicd-in-fabric/includes/3-implement-version-control-and-git-integration.md

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For development using a separate, isolated workspace:
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1. Connect a development workspace to the main branch, following the instructions in the section on this page entitled "Connect to a Git Repository".
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2. If you're a developer who works in the Fabric web interface, create an isolated branch for your work from the development workspace that's connected to the main branch by selecting **Source control** and **Branch out to new workspace**. Name the branch and associate it with another workspace. The new workspace syncs with the main branch and become an isolated work environment for your work.
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2. If you're a developer who works in the Fabric web interface, create an isolated branch for your work from the development workspace that's connected to the main branch by selecting **Source control** and **Branch out to new workspace**. Name the branch and associate it with another workspace. The new workspace syncs with the new branch you create and become an isolated work environment for your work.
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:::image type="content" source="../media/branch-out-to-new-workspace.png" alt-text="Screenshot of creating new workspace and branch." :::
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learn-pr/wwl/describe-medallion-architecture/includes/4-query-report-data.md

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## Query data in your lakehouse
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Teams can use SQL to explore and query data in the gold layer. You can analyze data in delta tables at any layer of the medallion architecture using the T-SQL language, save functions, generate views, and apply SQL security. You can also use the SQL analytics endpoint to connect to your lakehouse from third-party tools and applications.
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Teams can use SQL to explore and query data in the gold layer. You can analyze data in delta tables at any layer of the medallion architecture using the T-SQL language, save functions, generate views, and apply SQL security. You can also use the SQL analytics endpoint to connect to your lakehouse from querying tools and applications.
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The SQL analytics endpoint in Fabric enables you to write queries, manage the semantic model, and query data using the visual query experience.
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> [!NOTE]
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> The SQL analytics endpoint operates in **read-only** mode over lakehouse delta tables. To modify data in your lakehouse you can use dataflows, notebooks, or pipelines.
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In addition to using the SQL analytics endpoint for data exploration, you can also create a Power BI semantic model in Direct Lake mode to query data in your lakehouse. When you create a lakehouse, the system also creates an associated default semantic model. The default semantic model is a semantic model with metrics on top of lakehouse data.
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In addition to using the SQL analytics endpoint for data exploration, you can use a Power BI semantic model to explore data. A semantic model is a way of viewing data using business friendly terminology. It's typically represented as a star schema with facts that represent a domain of data relevant to a particular business area, and dimensions that allow you to analyze data in the data domain. A default semantic model is created automatically when you create a lakehouse. You can also create a non-default, custom Power BI semantic model.
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![Screenshot of the Power BI semantic model with relationships between tables.](../media/dataset-relationships.png)
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Data analysts connect to the semantic model using **Direct Lake mode**, in which the semantic model accesses data from a lakehouse. Direct Lake mode caches often-used data and refreshes it as required, combining the speed of a semantic model with the up-to-date data from a lakehouse.
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Data analysts can connect to the semantic model using **Direct Lake** mode, in which the semantic model accesses data directly from Delta tables in a lakehouse.
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## Tailor your medallion layers for different needs
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