Start Here

If you work with Power BI in real business environments, this page will help you navigate the content efficiently.

This site focuses on practical implementation and not surface-level tutorials.
Everything here is rooted in real project work: debugging DAX, fixing broken totals, redesigning models, optimizing performance, and making BI solutions scalable.

If you're new here, follow the paths below.

If You’re Struggling With DAX

Start here if:

• Your totals don’t match row values
• Measures behave differently inside visuals
• Context is confusing
• Performance is inconsistent

Recommended Reading

• Common Pitfalls with VALUES, DISTINCT, and VALUE in Power BI

• Playing with Totals in Power BI

• Going Beyond with DAX Studio

• Highlighting Top N Results Using RANKX and TOPN in Power BI

• How to Handle Blanks Effectively in Power BI

If You’re Building or Fixing Models

Start here if:

• Your model works… until it scales
• Relationships feel fragile
• You’re unsure about star schema discipline
• You want cleaner, maintainable structure

Recommended Reading

• Beginner’s Guide to Tabular Editor

• Best Practice Analyzer (BPA) Guide for Power BI

• How to Identify and Delete Unused Columns and Measures in Power BI

• How to Handle High Cardinality Columns in Power BI

• How to Use USERELATIONSHIP in DAX (Power BI Guide)

If Performance Is a Problem

Start here if:

• Reports are slow
• Measures take seconds to evaluate
• You want to understand query behavior
• You use DAX Studio or Tabular Editor

Recommended Reading

• Understanding Fabric Capacity Spikes: What’s Really Causing Them

• Going Beyond with DAX Studio

• How to Identify and Delete Unused Columns and Measures in Power BI

• Optimizing Measures with DAX Studio in Power BI

• How to Handle High Cardinality Columns in Power BI

Tools (DAX Studio, Tabular Editor, BPA)

Recommended Reading

• How to Automate Power BI Documentation

• Beginner’s Guide to Tabular Editor

• Best Practice Analyzer (BPA) Guide for Power BI

• Going Beyond with DAX Studio

• Optimizing Measures with DAX Studio in Power BI

Architecture

Recommended Reading

• When Do You Actually Need Dev, Test & Prod in Power BI?

• From One Big PBIX to a Shared Dataset + Thin Reports

• Going Beyond with Field Parameters in Power BI

• Introduction to Power Ops

• Page Level Security vs Object Level Security in Power BI

Deployment & Governance

Recommended Reading

• When Do You Actually Need Dev, Test & Prod in Power BI?

• How to Automate Power BI Documentation

• From One Big PBIX to a Shared Dataset + Thin Reports

• Power BI: Checklist I run before publishing any report

• Introduction to Power Ops

Fabric

Recommended Reading

• Understanding Fabric Capacity Spikes: What’s Really Causing Them

Capacity

Recommended Reading

• Understanding Fabric Capacity Spikes: What’s Really Causing Them

My Suggestion

If you’re unsure where to start:

1. Pick one DAX article
2. Pick one modeling article
3. Pick one performance article

That combination alone will sharpen how you approach Power BI projects.

If you prefer shorter insights, I also share focused Power BI ideas through my
LinkedIn newsletter.