Season 2

Namaste Power BI

Episode 27

Data Lineage & Impact Analysis

⏱ 30:00

Episode Summary

Understanding dataset dependencies — using the lineage view to trace data flow from source to report, running impact analysis before schema changes, and preventing downstream breakage in enterprise environments.

This is Episode 27 of the free Namaste Power BI course on DevWithData — covering data lineage & impact analysis. Watch the video above, then pass the MCQ checkpoint to unlock the next episode and update your Data Readiness Index score.

Key Takeaways

→Lineage view shows the full data flow: source → dataset → report → dashboard
→Impact analysis reveals which reports and dashboards break if you modify a dataset
→Always run impact analysis before renaming columns or changing relationships
→Lineage helps with compliance audits and data governance documentation

⚠ Common Interview Pitfalls

•Making schema changes without checking downstream dependencies
•Ignoring lineage for "small" changes that cascade to many reports
•Not documenting data flow for audit and governance requirements

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 27: Creating & Distributing Power BI Apps

Ep 28: Gateways & Data Pipelines →

Episode Checkpoint

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