Denormalized data
Data normalization is the process of structuring a database model by decomposing existing structures and creating replacement references to decrease the redundancy and improve data integrity. However, data normalization inherently applies to relational databases. In the case of a document collection, embedded data is preferred over referential integrity. In addition, data views that cross the boundaries of a single collection should also be replicated on different pivots according to the design requirements.
Let's continue with our data model design with vehicles and auctions. These two data domains are going to be handled with separate APIs and will have separate collections. However, in a general feed (for example, latest ...
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