Power BI's Hidden Data Model Trap: Why 90% of Devs Waste $100K a Year
In 47 audits, one flaw appeared in 42 Power BI projects — a data modeling blunder that's quietly draining company budgets. It's not code; it's architecture gone wrong.
⚡ Key Takeaways
- 90% of Power BI devs build monolith tables, costing $100K/year in compute and time.
- Switch to star schema: separate facts and dimensions for 5-10x query speed.
- Echoes NoSQL denormalization pitfalls — normalize or pay the price.
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Originally reported by Towards AI