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Data modeling is the process of establishing patterns and rules for how data is stored in database documents and containers and how it is accessed.

You can significantly improve speed and performance of Azure Cosmos DB – especially for your most frequent queries – by choosing the data model that best fits the needs of your application.

In less than two minutes, learn about the key considerations for choosing the right data model, the differences between embedding and referencing data, and how the Azure Cosmos DB change feed can eliminate data duplication.

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