What is the difference between aggregation and summarization in data modeling?
- Aggregation and summarization are interchangeable terms with no distinct difference.
- Aggregation combines detailed data into a higher-level view, while summarization involves creating a concise summary of data.
- Aggregation is used for numeric calculations, while summarization is for textual data.
- Aggregation only works with relational databases, while summarization is more versatile.
In data modeling, aggregation involves the grouping of detailed data into a higher-level view, often using functions like COUNT, AVG, etc. Summarization, on the other hand, is the process of creating a concise summary of data, providing a more comprehensive overview. Understanding this difference is crucial for effective data modeling and reporting.
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