Special Dataset Architectures: Trees and Maps

Tree Structures

Collections make it easy to represent data in a tree-like structure by pre-loading related objects and building hierarchical relationships. This is particularly useful for:

• Displaying hierarchical data in the UI.

• Refreshing only parts of the tree that have changed.

Best Practices for Trees

• Limit the depth of the tree to prevent performance issues.

• Use front-end logic to optimize UI updates.

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Maps

For large datasets, collections can be structured as associative arrays (key-value pairs) or graph-like data. This approach simplifies:

• Efficient lookups.

• Updates and navigation.

• Handling complex datasets in the front-end.

For more on optimizing datasets, see Dataset Optimization.

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