DFS Recipes

Use recipes when you already know the job you need DFS to complete. Each recipe combines DFS Lite connection and mapping steps with DFS Pro governance, fusion, review, or reporting steps where they are needed.

Choose a recipe

Goal	Recipe	Use when
Bring facility signals into a twin	Connect BMS Data to a Facility Twin	A building, plant, or campus team needs BMS, meter, alarm, or equipment signals available in FactVerse.
Prepare signal history for equipment analysis	Prepare Signal History for Predictive Maintenance	Maintenance and reliability teams need clean time-series history before using predictive maintenance workflows.
Package reviewed data for Agent workflows	Create an AI Agent-Ready Dataset	An AI Agent workflow needs governed source data, stable IDs, metadata, and reviewer context.
Combine operations records and sensor data	Fuse Inspection, Work Order, and Sensor Data	A workflow needs one operational view across inspections, work orders, alarms, and live or historical signals.
Recover from rejected source rows	Fix Rejected Rows and Reprocess	A sync or fusion job rejected rows that need source correction, manual resolution, or controlled reprocessing.

Recipe pattern

Most DFS recipes follow the same operating loop:

Define target workflow
  -> connect source
  -> preview and map data
  -> sync and check quality
  -> promote to governed dataset when reuse is needed
  -> review uncertain outputs
  -> publish to the consuming FactVerse workflow

Before you start

Prepare these inputs before following a recipe:

• tenant and project context;
• source owner and reviewer;
• source connection details;
• target asset, point, dataset, or workflow identity;
• expected units, ranges, timestamps, and update frequency;
• acceptance criteria for sync, data quality, and reviewer handover.

Related documentation

Page	Use
Getting Started with DFS	Create a first connector and verify a small end-to-end data loop.
DFS Lite	Connect, preview, map, sync, and check source data.
DFS Pro	Create governed datasets, fusion tasks, review queues, pipelines, and BI reports.
DFS Reference	Check connector types, mapping fields, permissions, and API surfaces.