Resources / User Guide / Core Products
DataOps Workbench
Use DataOps Workbench to turn sources, tags, files, and records into reusable asset context, canonical graph relationships, API products, and MCP-ready data.
Data engineers, OT engineers, solution architects, and product owners preparing trusted operational context.
Before you start
What to have ready
At least one registered source or planned source connection.
A target asset class, system, or operating workflow.
Naming standards for assets, tags, units, and sites.
A decision about which modules or APIs will consume the output.
Usage workflow
How to use DataOps
Register sources
Add operational sources and capture ownership, source health, connection pattern, and expected refresh behavior.
Inspect tags and records
Browse tags, topics, tables, and files to understand signal quality, units, naming, and missing context.
Map models and instances
Create asset models, bind instances, normalize fields, and connect source data to equipment, systems, and locations.
Build graph and namespace context
Use canonical graph, namespace, and standard profiles so modules and AI agents share the same operational meaning.
Publish and monitor products
Publish governed API/MCP products, run pipelines, and monitor freshness, validation, and data product health.
Product areas
Where to work in TwinEdge
DataOps Home
Workbench landing page.
Sources
Source catalog and connector status.
Tag Browser
Tag and node inspection.
Models
Model definitions.
Instances
Mapped asset instances.
Canonical Graph
Relationships and graph context.
Pipelines
Pipeline builder and runs.
API and MCP Products
Data products for external clients and agents.
Monitor
Freshness, validation, and run status.
App links require an approved TwinEdge account and the right module access.
Need help?
Get implementation guidance
Request DataOps readiness help when mapping, standards, or source quality blocks the first workflow.
Talk to TwinEdge