This section provides a comprehensive collection of sample Analysis Services (SSAS) projects, including multidimensional and tabular models, along with associated datasets. These samples are designed to help developers and business intelligence professionals understand and implement various SSAS features, best practices, and advanced scenarios.
Multidimensional Models
Explore samples demonstrating cube design, dimensions, measures, MDX queries, and performance tuning for SSAS Multidimensional models.
-
AdventureWorks DW Multidimensional Cube Sample
A classic sample featuring a detailed AdventureWorks DW cube with multiple dimensions and measures.
-
Sales Analytics Cube
Demonstrates how to model sales data, including product hierarchies, time intelligence, and currency conversion.
-
Financial Reporting Cube
Samples focused on financial data modeling, including chart of accounts, budgets, and period-over-period analysis.
Tabular Models
Discover samples for SSAS Tabular models, showcasing DAX queries, relationships, calculated columns, measures, and integration with Power BI.
-
AdventureWorks DW Tabular Model Sample
A tabular counterpart to the multidimensional sample, optimized for in-memory analytics.
-
Customer 360 View Tabular Model
Build a comprehensive customer view by integrating data from various sources into a single tabular model.
-
Performance Metrics Dashboard Model
Samples demonstrating how to create models for tracking key performance indicators (KPIs) and business metrics.
Data Modeling Techniques
Samples illustrating advanced data modeling concepts, such as slowly changing dimensions, role-playing dimensions, and semi-additive measures.
-
Implementing Slowly Changing Dimensions (SCD)
Practical examples for handling historical data changes in dimensions.
-
Utilizing Role-Playing Dimensions
Samples on how to create and use multiple perspectives of a single dimension (e.g., Date as Order Date, Ship Date).
-
Modeling Semi-Additive Measures
Guidance and samples for correctly calculating measures like account balances.
Querying and Analysis
Examples of writing effective MDX and DAX queries, using BI development studio tools, and integrating with client applications.
-
Advanced MDX Query Examples
Illustrative MDX queries for complex slice-and-dice, drill-through, and ranking operations.
-
Common DAX Patterns and Solutions
Practical DAX formulas for time intelligence, rankings, and complex aggregations.
-
Using SQL Server Data Tools (SSDT) for SSAS
Tips and tricks for using SSDT to develop, deploy, and manage SSAS models.
Was this page helpful? Let us know your feedback. Provide feedback