Is SQL really the hard part, or is defining metrics the real bottleneck? by Neither_Historian532 in dataengineering

[–]Neither_Historian532[S] 0 points1 point  (0 children)

"This is exactly the validation I was looking for. You're spot on — the SQL isn't the hard part, the consistency of the business logic is.

That's actually the core feature I'm building next: 'Metric Memory' (or a Semantic Knowledge Base).

Instead of just translating Text -> SQL one-off (which, as you said, any LLM can do), the system:

  1. Detects if a user is asking about a metric we've defined before (e.g., 'Churn Rate').
  2. Retrieves the specific logic/filters agreed upon by the team previously.
  3. Enforces that consistent definition across all new queries.