Mssql SQL Server → Looker
AI-first ETL from Mssql SQL Server into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mssql SQL Server into Looker
Datrise syncs Mssql SQL Server's records, events, and configuration objects 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
Mssql SQL Server: SaaS or API data source for analytics and warehouse sync.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Mssql SQL Server entities map to Looker
| Mssql SQL Server entity | Looker object | Notes |
|---|---|---|
| records | mssql_sql_server_records | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| events | mssql_sql_server_events | date/time dimension columns events |
| configuration objects | mssql_sql_server_configuration_objects | id PK · linked to mssql_sql_server_records |
FAQ
How does Datrise handle Mssql SQL Server'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 Mssql SQL Server 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 Mssql SQL Server
- Mssql SQL Server → Looker Studio
- Mssql SQL Server → Microsoft Power BI
- Mssql SQL Server → Tableau
- Mssql SQL Server → Apache Superset
- Mssql SQL Server → Metabase
- Mssql SQL Server → Amazon QuickSight
- Mssql SQL Server → Domo
- Mssql SQL Server → Sisense
- Mssql SQL Server → ThoughtSpot
- Mssql SQL Server → Qlik
- Mssql SQL Server → Mode
- Mssql SQL Server → Redash
Early access
Connect Mssql SQL Server to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.