A data model is an abstract representation of real-world entities. It organizes data elements and their properties and standardizes how they relate.Documentation Index
Fetch the complete documentation index at: https://docs.cognite.com/llms.txt
Use this file to discover all available pages before exploring further.
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.
Time series integration
Learn how to integrate time series data with your data model.
Files integration
Learn how to integrate files with your data model.
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.
API reference
REST endpoints for Spaces, Instances, Containers, Views, and Data models.