> ## 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 core concepts and features of the Data Modeling Service (DMS) including spaces, instances, containers, views, and property graphs. ## Foundation Understand how property graphs use nodes, edges, and properties to model complex industrial systems. Construct an industrial knowledge graph using spaces, instances, nodes, edges, and direct relations. ## Schema definition Define schemas using containers, views, and data models to bring your own properties into the knowledge graph. Explore globally available system schemas prefixed with cdf\_ that provide out-of-the-box containers, views, and data models. ## Working with data Ingest and remove instances in your graph using apply, patch, replace, and delete operations. Query your industrial knowledge graph using filters, parameters, recursive edge traversal, and subscriptions to changes. Search for text and property values in your knowledge graph using full-text queries, filters, and relevance ranking. Summarize and analyze data using aggregation functions, grouping, and filters. ## High-performance storage Records are individual data objects that represent events, logs, or historical entries. Streams are logical containers that organize your records and define how they behave throughout their lifecycle. ## Management and inspection Control access to graphs using spaces and access control lists (ACLs). Inspect schemas and instances to understand their structure and relationships in your data model. ## Beta features Improved search for tag-like naming structures through advanced tokenization rules. For REST endpoint documentation, see [Data modeling API reference](/api-reference/concepts/20230101/data-modeling).