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Data modeling examples and best practices

Data models are important for generative AI features, like copilots, summarizers, and AI-supported search. Also, data models let you specify types of metadata, making it easier to search for assets with specific properties. Another major benefit is that data models let you tailor data consumption with GraphQL or an SDK generated from the data model.

This section has examples and best practices to apply when building and deploying containers, views, data models and instances, as well as for composing queries.