Finale

Namaste Power BI

Episode 48

Enterprise Performance Engineering

⏱ 50:00

Episode Summary

Finale Episode 6 — the deep dive into Power BI performance engineering at enterprise scale. VertiPaq internals, column compression, cardinality management, aggregation table strategies, and composite model optimization for billion-row datasets.

This is Episode 48 of the free Namaste Power BI course on DevWithData — covering enterprise performance engineering. Watch the video above, then pass the MCQ checkpoint to unlock the next episode and update your Data Readiness Index score.

Key Takeaways

→VertiPaq uses columnar compression — low cardinality columns compress dramatically
→High cardinality columns (GUIDs, timestamps) bloat model size exponentially
→Aggregation tables provide 10-100x query speedup for summary visuals
→Composite models balance Import speed with DirectQuery freshness

⚠ Common Interview Pitfalls

•Not profiling model size with VertiPaq Analyzer before optimizing
•Adding aggregation tables without testing that queries actually use them
•Over-engineering composite models when a simple Import model suffices

Official Reference

Deepen your understanding with official Microsoft documentation.

PL-300 Official Training Course

Microsoft's official instructor-led training for the Power BI Data Analyst certification.

https://learn.microsoft.com/en-us/training/courses/pl-300t00

Power BI Documentation

Complete reference for Power BI Desktop, Power BI Service, and Power BI Embedded.

https://learn.microsoft.com/en-us/power-bi/

Content on DevWithData is original and inspired by official Microsoft resources. The links above point directly to Microsoft Learn — always the authoritative source.

← Ep 47: IPL Project: Predictive Analytics Intro

Episode Checkpoint

Sign in to attempt the quiz and unlock the next episode.