Why Your Data Agent Gets the Wrong Answer

Why Your Data Agent Gets the Wrong Answer

The Column Named C1

Episode 26 • 2026-06-26 Duration: 9:21

A Fabric Data Agent generates queries from your column names, not your intentions. This episode pulls apart the grounding pipeline to show where accuracy lives and dies — and why the schema investment you skipped three years ago just became urgent.

What we discuss

  • How it actually works underneath the abstraction
  • The pattern we keep seeing in the field
  • Where the obvious answer breaks
  • A real Reddit/Microsoft Q&A question unpacked
  • The concrete recommended architecture
  • F-SKU realism — what this actually costs
  • When the rejected approach is actually right
  • Risks of the recommended path
  • The architectural principle to take home

Key takeaways

  • Somewhere, a data architect who's been filing those tickets for five years just felt a wave of vindication.
  • There's something to that. We spent years telling teams to name their columns properly and nobody listened, because the SQL worked either way. Now there's an LLM reading those column names and getting the wrong answer, and suddenly the...
  • Show me the query pattern — then show me the auth pattern.

Resources

About the show

AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on YouTube (Fabric Friday), at his meetups, and at conferences like FabCon.

Hosted by Matthias Falland — Microsoft Data Platform MVP and community architect behind the Fabric Periodic Table. New episodes every Friday.

Submit your case

Have an architecture decision you are wrestling with? DM Matthias on LinkedIn — find him as Matthias Falland. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing.

This podcast was generated by AI.

Brand design based on fabricperiodictable.com.

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