3PL Central to Google BigQuery Integration
AI-first ETL from 3PL Central into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Google BigQuery
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
3PL Central: Third-party logistics warehouse and order operations.
Google BigQuery: Serverless analytics warehouse on GCP.
How 3PL Central entities map to Google BigQuery
| 3PL Central entity | Google BigQuery object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| receipts | tplcentral_receipts | id PK · linked to tplcentral_orders |
| inventory levels | tplcentral_inventory_levels | id PK · linked to tplcentral_orders |
| items | tplcentral_items | id PK · linked to tplcentral_orders |
FAQ
How does Datrise handle 3PL Central's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the 3PL Central to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
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Early access
Connect 3PL Central to Google BigQuery the easy way
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