The Art and Science of Data Modeling in Power BI
A data model is essential for structuring, organizing, and optimizing data in a way that makes it useful for analysis and decision-making. It defines how data is stored, related, and retrieved, ensuring consistency, accuracy, and efficiency in reporting and analytics.
- Conceptual Data Model – Business-focused, high-level view.
- Logical Data Model – Defines data structure and relationships.
- Physical Data Model – Implementation in Power BI with calculations and optimizations.
- Manages roles ➝ Defines user roles and access permissions at a high level.
- View As ➝ Allows viewing reports from different user roles' perspectives.
- Hierarchies ➝ in Power BI allow you to organize data into structured levels for better navigation, filtering, and drill-down analysis.
- Manage relationships ➝ Defines relationships between tables (one-to-many, many-to-many, etc.).
- New Parameters ➝ Helps define dynamic values for calculations or filtering.
- Hierarchies ➝ in Power BI allow you to organize data into structured levels for better navigation, filtering, and drill-down analysis.
- New Measure ➝ Uses DAX to create calculated values for reports (e.g., Total Sales).
- Quick Measure ➝ Predefined DAX calculations for easier metric creation.
- New Column ➝ Adds computed columns at the table level (row-by-row calculations).
- New Table ➝ Creates a new table using DAX or Power Query.
- Hierarchies ➝ in Power BI allow you to organize data into structured levels for better navigation, filtering, and drill-down analysis.
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