Module 3: Power BI Data Modeling: Star Schema, Relationships, Fact vs Dim, Best Practices скачать в хорошем качестве

Module 3: Power BI Data Modeling: Star Schema, Relationships, Fact vs Dim, Best Practices

In this Data Modeling module, you’ll learn how to design a clean, scalable model in Power BI that makes your DAX easier, your reports faster, and your dashboards more reliable. We cover the core modeling concepts every analyst must master: ✅ Fact vs Dimension tables (and how to choose the right “grain”) ✅ Star schema vs snowflake (what to use and when) ✅ Relationships: cardinality (1:* , :), cross-filter direction, active vs inactive ✅ Handling many-to-many with bridge tables ✅ Role-playing dimensions (e.g., Order Date vs Delivery Date) ✅ Date table best practices for time intelligence ✅ Data model performance tips + common mistakes to avoid 📌 If you want dashboards that “just work”, this is the foundation. ⏱️ Chapters / Timestamps: 00:00 Introduction (Why Data Modeling matters) 03:10 Data model overview (what we’re building) 08:05 Fact vs Dimension tables (simple explanation) 15:30 Choosing the right grain (avoid wrong totals) 22:40 Star schema vs Snowflake (which is best?) 30:05 Building Dimensions (Date, Product, Customer, Territory) 38:20 Building Fact tables (Sales/Orders/Transactions) 45:10 Relationships explained (cardinality + keys) 52:35 Cross filter direction (single vs both) 58:50 Active vs inactive relationships (when to use each) 1:05:40 Many-to-many relationships + Bridge tables 1:15:10 Role-playing dimensions (multiple dates) 1:24:05 Date table best practices (time intelligence ready) 1:33:15 Model performance tips (speed + clean design) 1:39:40 Common data modeling mistakes + fixes 1:42:20 Summary + what’s next