DatriseAI-first ETL

SAP Fieldglass to Holistics Integration

AI-first ETL from SAP Fieldglass into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads SAP Fieldglass into Holistics

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

SAP Fieldglass: External workforce and contingent labor management.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How SAP Fieldglass entities map to Holistics

SAP Fieldglass entityHolistics objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns for the modeling layer
job postingssap_fieldglass_job_postingsid PK · linked to sap_fieldglass_workers
work orderssap_fieldglass_work_ordersid PK · linked to sap_fieldglass_workers
time sheetssap_fieldglass_time_sheetsid PK · linked to sap_fieldglass_workers

FAQ

How does Datrise handle SAP Fieldglass's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the SAP Fieldglass to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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