Explicit Measures Podcast 430: Build for Reports or Build for AI?
Jun 10, 2025
The conversation dives into the rapid evolution of AI, likening it to the shift from horse-drawn carriages to modern vehicles. Naming challenges in data architecture reveal how small changes can cause big headaches. The guests share their struggles with Power Query and connection issues in Power BI, stressing the need for better usability. They also discuss the latest AI tools from Microsoft, highlighting the importance of strong semantic models in driving AI functionalities. Insights on the readiness for AI adoption and user-friendly solutions add depth to the discussion.
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Episode notes
Lake House Rename Authentication Issue
- Renaming a lake house in Microsoft Fabric caused a unique authentication failure with SQL analytics endpoints. - Fixing involved renaming the lake house again and manually updating M code connections using Timdle.
Use Timdle For M Code Edits
- Use Timdle to edit M code across multiple tables efficiently when updating lake house names. - Timdle saves time by enabling bulk editing of connection strings and table references.
Avoid Renaming Lake Houses
- Avoid renaming lake houses frequently to prevent connection and authentication issues in Power BI Fabric. - Expect a clunky connections experience; be patient while managing semantic model data connections.