Industrial knowledge graph
Extract data relationships, capture interconnections, and trace data lifecycles in a flexible knowledge graph that adheres to industry data standards and represents your operations digitally.
Go from search to discovery
When there are 100s of data sources and countless name conventions, searching can be tedious speaking their own languages. Discovering related data instantaneously will help you leap from antagonizing searches to discovering insights.
Understand relationships
And not just tables. The relationships often matter more to the answers we seek than the data entries they connect. Understanding our processes and systems requires understanding our data real estate in its context.
Better industrial AI initiatives
Knowledge graphs help operationalize your data science, artificial intelligence, machine learning (AI/ML), and Internet of Things (IoT) initiatives.
An open, flexible, and labeled property graph data model that represents your operations
High-frequency time-series sensor data, knowledge hidden in documents, visual data streams, and even 3D and engineering data to describe the physical environment to a domain expert - Cognite Data Fusion is built for scale at its core. It liberates the data that’s been locked in different systems and applications and makes it meaningful and manageable.
Cognite's powerful, built-in SQL transformation services automatically create resource types and build the industrial knowledge graph
Cognite Data Fusion is your tool to turn raw data into valuable operational insights
Cognite Data Fusion staging area
Data flows from the extractor into Cognite Data Fusion ingestion API. From here on, everything lives in the cloud. Data is first ingested into the raw storage layer.
Spark SQL queries
The transform step shapes and moves the data from the staging area into the Cognite Data Fusion data model. Cognite Data Fusion comes with a built-in transformation.
Transform on schedules
The transformation tools, including monitoring services, run in Cognite Data Fusion and can be scheduled to run at specific intervals.
Cognite Data Fusion open data model (industrial knowledge graph)
The transformation step can both turn raw data into Cognite Resource types and build their relationships to form the data model.
Recognized by the industry leaders and research community
What independent voices say about the value of data contextualization in populating the industrial knowledge graph
Contextualized Data and Digital Twins Amplify Digitization Value
Digitalization success hinges on providing data scientists and developers with access to contextual, meaningful data at their moment of need.
Cognite Data Fusion provides contextualization of operational asset data to increase ease of data analytics
CDF uses a combination of machine learning, rules engines, and subject-matter expertise to create a pipeline of data tagging and labeling so that CDF knowledge graphs are automatically populated.
Verdantix Market insight: 10 applications of large language models for industry
LLM-based information retrieval systems give operators concise, relevant insights for a big-picture view – helping them discover inefficiencies and safety risks.