Season 3

Namaste Power BI

Episode 36

Incremental Refresh

⏱ 40:00

Episode Summary

Handling large datasets efficiently — incremental refresh policies, RangeStart/RangeEnd parameters, partition management, and reducing refresh time from hours to minutes.

This is Episode 36 of the free Namaste Power BI course on DevWithData — covering incremental refresh. Watch the video above, then pass the MCQ checkpoint to unlock the next episode and update your Data Readiness Index score.

Key Takeaways

→Incremental refresh only reloads new/changed data instead of everything
→Requires RangeStart and RangeEnd parameters of type DateTime
→Hot partition = recent data (refreshed every time); Cold = historical (fixed)
→Premium/PPU can manage individual partitions via XMLA endpoint

⚠ Common Interview Pitfalls

•Not implementing query folding for the date filter (full table loads anyway)
•Setting the refresh window too large (defeats the purpose)
•Forgetting that incremental refresh requires Premium for full partition control

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 35: Advanced Modeling Patterns

Ep 36: Dataflows →

Episode Checkpoint

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