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About Data Model Patterns
This document discusses patterns of data modeling. It begins with definitions of key terms like model, data model, and pattern. Patterns are described as profound and recurring model fragments that focus on structure. The document then discusses why patterns are important for modeling, such as providing building blocks and reducing modeling difficulty. Some drawbacks of patterns are also presented, such as limited coverage and complexity. Different types of patterns are defined, including mathematical templates, antipatterns, and archetypes. The remainder of the document focuses on examples of mathematical templates for modeling trees and graphs.
Detailed Information
| Author: | ['peterche'] |
|---|---|
| Publication Year: | 2011 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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