It's time to solve the industrial data problem with Industrial DataOps
The key to find and use complex IT/OT/ET data up to 90% faster than before
Connect to source systems
Cognite OPC UA Extractor
Extracts time series, events, and assets data via the OPC UA protocol.
Cognite Documentum & D2 Extractor
Extracts documents from the OpenText Documentum and Documentum D2 content management platforms.
Cognite EDM Extractor
Connects to Halliburton/Landmark Engineer’s Data Model database and exports the data to Cognite Data Fusion staging area.
Cognite File Extractor
Extract and uploads files from local file systems into Cognite Data Fusion platform.
Cognite OSDU Extractor (Beta)
Extracts data from OSDU™ Data Platform Generic API and Wellbore DDMS.
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View and troubleshoot time series
Leverage Industrial DataOps and AI to liberate, operationalize, and govern complex IT/OT/ET data at unprecedented scale.Learn more about Industrial DataOps
Industrial DataOps enables you to build and manage data products as a service.
Explicit expression of data expectations
Giving shared context and vocabulary for all data consumers
Flexible iteration of data models
Enabling iteration and different perspectives
Governed access and revisions
Providing stability and assurance on quality and maintainability
Make intuitive to iterate, consume and ingest data through data modeling
Simple Access to Complex Data in 3 minutes
What does simple access to complex industrial data look like? In this 3 minute demo, we’ll show you how Time series, events, files, 3D images and more can be explored in the Cognite Data Fusion user interface.
How it works
Industrial DataOps integrates, models, and enables governance around complex industrial data so that you can build repeatable use cases and business capabilities that scale to like assets and sites.
Annotate and mark up
Data-driven production optimization
Real time charts from any source
Safety & sustainability
Automated & standardized workflows
Collaborate with colleagues
Scalable solutions & apps
Application Data Models
Specific - targets one solution
Faster to change
Can have bespoke data quality configurations
Speaks to application business domain
Operational (OT) data
Conventional (IT) data
Engineering (ET) data
Field workers data