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A data model is an abstract representation of real-world entities. It organizes data elements and their properties and standardizes how they relate.

Data modeling concepts

Learn about the data modeling service (DMS) and core concepts like containers, views, spaces, and instances.

Examples and best practices

Follow recommendations for composing and deploying data models and queries.

Cognite data models

Explore the Cognite core and industry data models, and understand system limits.

Records and streams

Learn about high-performance storage for bulk structured data using records and streams.

GraphQL interface

Use GraphQL to query, mutate, and define data models in Cognite Data Fusion.

Limits and restrictions

Learn about the limits and restrictions for data modeling resources in your CDF project.
Last modified on January 27, 2026