#SemanticModels

Donna E

@edwardsdna.bsky.social

1 week ago

How to Manage One Dataset / Semantic Model, Many Reports - The Master Dataset Many organizations end up creating multiple Power BI datasets / semantic models for different reports even though the underlying data is the same. This results in duplication, inconsistent reporting and inefficiencies.

How to Manage One Dataset / Semantic Model, Many Reports - The Master Dataset: Many organizations end up creating multiple Power BI datasets / semantic models for different reports even though the underlying data… @PowerBI #PowerBI #DataManagement #BusinessIntelligence #DataAnalytics #SemanticModels

Donna E

@edwardsdna.bsky.social

2 weeks ago

Turning Data Chaos into Clarity with Scalable Semantic Models This article explores how scalable semantic models bring structure, consistency, and trust to enterprise analytics.

Turning Data Chaos into Clarity with Scalable Semantic Models: This article explores how scalable semantic models bring structure, consistency, and trust to enterprise analytics. @PowerBI #DataScience #Analytics #SemanticModels #BigData #DataVisualization

@gregdeckler.bsky.social

2 months ago

It's All Just Metadata People YouTube video by Microsoft Hates Greg

#SemanticModels, #Ontologies, #DigitalTwins, call it whatever you want but the reality is that...

youtu.be/0jQ5lZg8Fjc

#ai #artificalintelligence #powerbi #microsoft #microsoftfabric

Jason Miles

@edudatasci.net

2 months ago

Edit, Retarget, and Redeploy: A Practical TMDL Folder Workflow for Fabric Semantic Models There’s a moment in every Fabric semantic model lifecycle where the “click it in the UI” approach stops scaling. It usually happens when you need to rename dozens (or hundreds) of fields to match a business glossary, or when Dev is stable and you’re ready to point the same model at a new Lakehouse for Test/Prod. That’s when the model stops being a diagram and starts being an artifact—something you want to treat like code. This guide reflows the whole workflow end-to-end, using the Fabric service Edit in Desktop experience to open the model, exporting it to a PBIP project stored as a TMDL folder, editing that folder externally (no scripting inside Power BI Desktop), and then getting those changes back into the service—

Stop rebuilding #SemanticModels just to rename 100 columns or repoint to a new Lakehouse.
This walkthrough shows a clean PBIP + TMDL folder workflow for #MicrosoftFabric semantic models—including how to retarget the entire model (or a single table) to a different Lakehouse. #PowerBI #DataModeling

Donna E

@edwardsdna.bsky.social

3 months ago

TMDL View in Power BI: The Game-Changer for Semantic Model Management   If you've ever struggled with bulk-editing Power BI models, wished you could version control your semantic models properly, or wanted to share reusable model components with your team, you're in for a treat. The Tabular Model Definition Language (TMDL) view in Power BI Desktop is transforming how developers work with semantic models, and it might just become your new favorite feature. In this post, I'll walk you through the practical benefits of TMDL view with real-world examples that demonstrate why this feature deserves a spot in every Power BI developer's toolkit.      

TMDL View in Power BI: The Game-Changer for Semantic Model Management:  

If you've ever struggled with bulk-editing Power BI models, wished you could version control your semantic models properly, or wanted to share… @PowerBI #PowerBI #TMDL #SemanticModels #DataAnalytics #BusinessIntelligence

Naoya

@naoyacreates.bsky.social

7 months ago

Microsoft Fabric: Auto-Generated Models Sunset | AI News Microsoft Fabric is retiring auto-generated semantic models. Learn about the impact, new workflows, and how to prepare for the changes.

AIMindUpdate News!
Important change for Microsoft Fabric users! Auto-generated semantic models are going away. This means new workflows, and more control. #MicrosoftFabric #DataGovernance #SemanticModels

Click here↓↓↓
aimindupdate.com/2025/07/24/m...

Soheil Bakhshi

@biinsight.com

1 year ago

Thanks to @vahiddousti.bsky.social for the opportunity to talk about large #DataModels in #PowerBI #SemanticModels 👍🏼

Soheil Bakhshi

@biinsight.com

1 year ago

Dealing with Large Data Models in Power BI | LinkedIn In this session, we will explore the critical aspects of managing large data models in Power BI Semantic Models. As organisations increasingly rely on Power BI for enterprise-level reporting and analy...

Join us for an insightful session on managing large data models in #PowerBI #SemanticModels. Thanks to @vahiddousti.bsky.social for the arrangement.

📅 𝐃𝐚𝐭𝐞: 28-Jan-2025
🕗 𝐓𝐢𝐦𝐞: 5:30 PM Sydney, Australia
🎙️ 𝐒𝐩𝐞𝐚𝐤𝐞𝐫: Soheil Bakhshi
Link: tinyurl.com/yeyuvwbn
#MicrosoftFabric #DataModeling #Data #BI