Core Products / Guide

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.

From source to shared context01 / SYSTEM VIEW
EquipmentHistoryDocuments
TwinEdgeShared asset context
Digital twinsAI agentsApps + APIs
01Connect02Map03Model04Publish
One asset model, reused across every consuming workflow.
Before you start

Data engineers, OT engineers, solution architects, and product owners preparing trusted operational context.

  • 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.
THE WORKFLOW

Move through the connected record.

  1. 01

    Register sources

    Add operational sources and capture ownership, source health, connection pattern, and expected refresh behavior.

  2. 02

    Inspect tags and records

    Browse tags, topics, tables, and files to understand signal quality, units, naming, and missing context.

  3. 03

    Map models and instances

    Create asset models, bind instances, normalize fields, and connect source data to equipment, systems, and locations.

  4. 04

    Build graph and namespace context

    Use canonical graph, namespace, and standard profiles so modules and AI agents share the same operational meaning.

  5. 05

    Publish and monitor products

    Publish governed API/MCP products, run pipelines, and monitor freshness, validation, and data product health.

CONTINUE IN TWINEDGE

Open your workspace.

Sign in with your TwinEdge account to access your enabled modules.

EXPLORE THE NEXT CONNECTION

Continue the workflow.

IMPLEMENTATION GUIDANCE

Build it around your operation.

Request DataOps readiness help when mapping, standards, or source quality blocks the first workflow.

Talk to TwinEdge