SAP Fieldglass to Azure Data Lake Storage Integration
AI-first ETL from SAP Fieldglass into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP Fieldglass into Azure Data Lake Storage
Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
SAP Fieldglass: External workforce and contingent labor management.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How SAP Fieldglass entities map to Azure Data Lake Storage
| SAP Fieldglass entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| workers | sap_fieldglass_workers | id PK · custom fields → nested struct/map fields in Parquet |
| job postings | sap_fieldglass_job_postings | id PK · linked to sap_fieldglass_workers |
| work orders | sap_fieldglass_work_orders | id PK · linked to sap_fieldglass_workers |
| time sheets | sap_fieldglass_time_sheets | id PK · linked to sap_fieldglass_workers |
FAQ
How does Datrise handle SAP Fieldglass's custom fields in Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the SAP Fieldglass to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for SAP Fieldglass
- SAP Fieldglass → Azure Synapse
- SAP Fieldglass → Spreadsheets
- SAP Fieldglass → Airtable
- SAP Fieldglass → CSV Files
- SAP Fieldglass → MongoDB
- SAP Fieldglass → Supabase
- SAP Fieldglass → Neon
- SAP Fieldglass → PlanetScale
- SAP Fieldglass → Amazon DynamoDB
- SAP Fieldglass → Looker
- SAP Fieldglass → Looker Studio
- SAP Fieldglass → Microsoft Power BI
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Early access
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