Google BigQuery to Looker Integration
AI-first ETL from Google BigQuery into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google BigQuery into Looker
Datrise syncs Google BigQuery's datasets, tables, views, query jobs, table schemas, and partitions into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Google BigQuery: Serverless analytics warehouse on Google Cloud.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Google BigQuery entities map to Looker
| Google BigQuery entity | Looker object | Notes |
|---|---|---|
| datasets | bigquery_datasets | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| tables | bigquery_tables | id PK · linked to bigquery_datasets |
| views | bigquery_views | id PK · linked to bigquery_datasets |
| query jobs | bigquery_query_jobs | id PK · linked to bigquery_datasets |
FAQ
How does Datrise handle Google BigQuery's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Google BigQuery to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Google BigQuery
- Google BigQuery → Looker Studio
- Google BigQuery → Microsoft Power BI
- Google BigQuery → Tableau
- Google BigQuery → Apache Superset
- Google BigQuery → Metabase
- Google BigQuery → Amazon QuickSight
- Google BigQuery → Domo
- Google BigQuery → Sisense
- Google BigQuery → ThoughtSpot
- Google BigQuery → Qlik
- Google BigQuery → Mode
- Google BigQuery → Redash
Early access
Connect Google BigQuery to Looker the easy way
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