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Expert Cube Development with Microsoft SQL Server 2008

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[ iii ]<br />

Table of Contents<br />

Built-in measure aggregation types 83<br />

Basic aggregation types 83<br />

Distinct Count 84<br />

None 84<br />

Semi-additive aggregation types 85<br />

By Account 88<br />

Dimension calculations 89<br />

Unary operators and weights 90<br />

Custom Member Formulas 91<br />

Non-aggregatable values 92<br />

Measure groups 94<br />

Creating multiple measure groups 94<br />

Creating measure groups from dimension tables 96<br />

Handling different dimensionality 97<br />

Handling different granularities 98<br />

Non-aggregatable measures: a different approach 99<br />

Using linked dimensions and measure groups 101<br />

Role-playing dimensions 102<br />

Dimension/measure group relationships 103<br />

Fact relationships 103<br />

Referenced relationships 104<br />

Data mining relationships 105<br />

Summary 106<br />

Chapter 5: Adding Transactional Data such as<br />

Invoice Line and Sales Reason 107<br />

Details about transactional data 107<br />

Drillthrough 109<br />

Actions 110<br />

Drillthrough actions 111<br />

Drillthrough Columns order 113<br />

Drillthrough and calculated members 116<br />

Drillthrough modeling 117<br />

Drillthrough using a transaction details dimension 117<br />

Drillthrough <strong>with</strong> ROLAP dimensions 119<br />

Drillthrough on Alternate Fact Table 120<br />

Drillthrough recap 122<br />

Many-to-many dimension relationships 122<br />

Implementing a many-to-many dimension relationship 123<br />

Advanced modelling <strong>with</strong> many-to-many relationships 127<br />

Performance issues 129<br />

Summary 130<br />

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