Dbt

Role dbt Does Well Python Does Better Structured data cleaning (staging) ✅ Possible, but inconvenient Designing mart table structures ✅ Also possible User-specific calculations ❌ Inconvenient ✅ Super flexible Scoring, conditional matching, if-else logic ❌ Very cumbersome ✅ Ideal Filtering based on user input ❌ Not possible ✅ Core feature Explaining recommendations, tuning logic ❌ ✅ Fully customizable For Example -- This kind of logic is painful in dbt... SELECT CASE WHEN user.age BETWEEN policy.min_age AND policy.max_age THEN 30 ELSE 0 END + CASE WHEN user.income < policy.income_ceiling THE_ ELSE 0 END + ... In dbt, the concept of a “user” doesn’t even exist dbt is built for models that apply the same logic to everyone Python, on the other hand, can generate different recommendations per user based on input 👉 dbt is great for static modeling, but dynamic, user-input-driven recommender systems are better suited for Python. ...