Question
In a data warehouse, which of the following best
describes the concept of "data granularity"?Solution
Data granularity in a data warehouse refers to the level of detail or summarization of data stored within the system. It defines how fine-grained or coarse-grained the data is, which directly impacts analytical capabilities and storage requirements. For instance:
- Fine-grained data captures every transaction in detail, such as individual sales transactions, timestamps, or specific customer actions. This is beneficial for in-depth analytics but increases storage and processing demands.
- Coarse-grained data, on the other hand, represents summarized or aggregated information, such as total daily sales or monthly revenue by region. While this saves storage and reduces processing overhead, it limits the level of analysis that can be performed.
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