Putting Logical Modeling into Practice
In the previous chapter, we observed data teams working with business teams to create a high-level conceptual model representing an organization’s main entities and relationships. While a conceptual model helps to understand the overall structure and requirements of the data without going into excessive detail, the next stage in the modeling process requires us to go further and develop a detailed model to be used as a blueprint for moving to a physical database design.
To complete the logical model, the data team will have to collaborate with domain experts from the business once again to expand the list of entities, attributes, and relationships that will be used in the database, as well as the data types and constraints for each element. Just as the conceptual model held bidirectional benefits in both developing a fresh design and simplifying an existing one, a logical model is not merely a stepping stone in the modeling process.
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