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What lineage does Atlan extract from Microsoft Fabric

Atlan extracts lineage from Microsoft Fabric in two modes depending on whether Scanner API Access is enabled in the crawler workflow. The mode affects both the depth of lineage and which assets are part of the lineage graph.

Lineage by mode

Lineage capabilityScanner API enabledScanner API disabled
Lakehouse/Warehouse Table → Semantic Model Table✅ Available✅ Available
Lakehouse/Warehouse Column → Semantic Model Table Column✅ Available✅ Available
Upstream lineage (external SQL sources → Lakehouse/Warehouse)✅ Available✅ Available
Semantic Model Tables → Semantic Model✅ Available✅ Available
Semantic Model → Report✅ Available✅ Available
Dataflow entity column → Semantic Model Table Column✅ Available✅ Available
Semantic Model Table / Column → Report Page❌ Not available✅ Available
Semantic Model Table Column → Report Visual❌ Not available✅ Available
Pipeline Copy Activity (Table → Table)❌ Not available✅ Available

Scanner API enabled

When Scanner API Access is enabled, Atlan uses the Power BI Admin Scanner APIs to derive lineage. The following lineage paths are available:

  • External sources → Semantic Models: Upstream lineage from Lakehouse and Warehouse tables and columns to their corresponding Semantic Model Tables and Semantic Model Table Columns, including column-level lineage.
  • Upstream SQL lineage: Table- and column-level lineage from external SQL warehouse assets to Fabric assets.

Report Pages, Report Visuals, and Pipeline Copy Activities aren't part of the lineage graph in this mode because those assets aren't cataloged when Scanner API Access is enabled.

Scanner API disabled

When Scanner API Access is disabled, Atlan uses both admin and non-admin APIs, enabling the full lineage graph:

  • All lineage paths available in scanner mode (following)
  • Semantic Model → Report → Page: Full downstream lineage from Semantic Model Tables and Columns through to Report Pages and Visuals
  • Pipeline Copy Activities: Table-level lineage for Copy Activity source and sink tables within Data Pipelines

See also