DatriseAI-first ETL

SAP Fieldglass to Redash Integration

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

How Datrise loads SAP Fieldglass into Redash

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

SAP Fieldglass: External workforce and contingent labor management.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How SAP Fieldglass entities map to Redash

SAP Fieldglass entityRedash objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

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