DFS Lite
DFS Lite is the connection and ingest layer of Data Fusion Services. Use it to connect source systems, inspect source data, map values to operational targets, and monitor whether data is fresh and usable.
What users do in DFS Lite
| Task | UI area | Result |
|---|---|---|
| Create a source connection | Connectors | A connector is saved and can be tested. |
| Start, pause, or sync a source | Connector List or Connector Detail | Data collection is controlled by an operator. |
| Browse source structure | Connector Wizard or Detail | Equipment, tags, files, topics, tables, or fields are visible. |
| Preview values | Connector Wizard or Detail | Sample timestamps and values can be checked before mapping. |
| Map fields | Mapping step or Mapping tab | Source values are bound to target entities and fields. |
| Review mapping suggestions | Mapping suggestions | AI-assisted suggestions are reviewed before use. |
| Check quality | Data Quality | Completeness, timeliness, accuracy, trends, and quota are visible. |
| Diagnose sync runs | Sync History | Read, written, and failed counts are visible. |
Connector types
DFS Lite supports several source families. Availability can depend on deployment and customer environment.
| Type | Typical source |
|---|---|
| OPC UA | Industrial automation systems and equipment telemetry. |
| BACnet | Building automation systems and facility points. |
| Modbus | Devices and controllers with register maps. |
| MQTT | IoT brokers, topic streams, and JSON payloads. |
| REST | Enterprise APIs, cloud services, and custom services. |
| CSV | Uploaded files, exports, and watched file drops. |
| JDBC | Databases, historians, and reporting tables. |
| Fabric | Microsoft Fabric or lakehouse-oriented integrations when enabled. |
Lite to Pro handoff
DFS Lite data can remain as live connector data when the use case only needs current operational status. Move data into DFS Pro when the team needs governed datasets, repeatable fusion, review queues, lineage, or BI reporting.
| Use DFS Lite when | Move to DFS Pro when |
|---|---|
| You are validating a source connection. | The data must become a reusable dataset. |
| The workflow needs live mapped values. | The data needs a steward, lifecycle, profile, or version history. |
| The team is checking source freshness. | Multiple datasets need to be fused. |
| The use case is connector troubleshooting. | Conflicts or rejected rows require formal review. |
Read next
| Page | Use |
|---|---|
| Connectors | Create, test, start, pause, sync, and monitor connectors. |
| Mappings | Map source fields to operational targets. |
| Data Quality | Check completeness, timeliness, accuracy, quota, and sync health. |