📚 Series Plan: Advanced Power BI Tutorials

Part 1: Advanced Data Modeling in Power BI

    ✔Why data modeling matters for performance.
    ✔Star vs. snowflake schema (with diagrams).
    ✔Role of surrogate keys and dimension design.
    ✔Handling slowly changing dimensions (SCD).
    ✔Best practices for relationships.
              

        ➡️ Learning Outcome: Readers can design scalable and efficient models.

Part 2: Mastering DAX (Data Analysis Expressions)

    ✔Deep dive into row vs. filter context.
    ✔CALCULATE() and context transition explained.
    ✔Advanced time intelligence (rolling windows, custom calendars).
    ✔Optimizing DAX with variables and measures.
              

        ➡️ Outcome: Readers write high-performance DAX that scales.

 Part 3: Performance Optimization & Scalability

    ✔Query folding: what it is and why it matters.
    ✔Using aggregations and composite models.
    ✔Incremental refresh for big data scenarios.
    ✔Using VertiPaq Analyzer to diagnose performance.
              

        ➡️ Outcome: Readers speed up large, enterprise-level datasets.

Part 4: Advanced Visualization Techniques

    ✔Dynamic measures and titles using DAX.
    ✔Drill-through, bookmarks, and storytelling.
    ✔Advanced conditional formatting.
    ✔Integrating R & Python visuals.
  

➡️ Outcome: Readers build professional, interactive dashboards.

 Part 5: Integration & Automation

    ✔Connecting Power BI to Azure Synapse & Databricks.
    ✔Automating workflows with Power Automate.
    ✔Using the Power BI REST API for embedding.
  

➡️ Outcome: Readers connect Power BI to enterprise ecosystems.

 Part 6: Governance, Security & Deployment

    ✔Implementing row-level security (RLS).
    ✔Object-level security (OLS).
    ✔Deployment pipelines for version control.
    ✔Best practices for workspace and dataset governance.
          

            ➡️ Outcome: Readers manage enterprise-scale Power BI environments securely.

 Part 7: Case Study – Enterprise Sales Analytics Dashboard

    ✔Building an end-to-end enterprise solution.
    ✔Using incremental refresh + RLS.
    ✔Applying advanced DAX and visualization tricks.
              

            ➡️ Outcome: Readers see how all advanced features come together.