What is the purpose of Slowly Changing Dimensions (SCD) in data modeling?
- To capture changes to dimension data over time
- To design complex queries
- To enforce data integrity constraints
- To speed up data retrieval from databases
Slowly Changing Dimensions (SCD) in data modeling are used to capture changes to dimension data over time. They allow for the tracking of historical data and help maintain a history of changes to dimensional attributes, which is crucial for analysis and reporting purposes.
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