Harvest Forecast to Looker Integration
AI-first ETL from Harvest Forecast into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest Forecast into Looker
Datrise syncs Harvest Forecast's assignments, people, projects, clients, milestones, and scheduled hours 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
Harvest Forecast: Resource scheduling and project capacity planning.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Harvest Forecast entities map to Looker
| Harvest Forecast entity | Looker object | Notes |
|---|---|---|
| assignments | harvest_forecast_assignments | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| people | harvest_forecast_people | id PK · linked to harvest_forecast_assignments |
| projects | harvest_forecast_projects | id PK · linked to harvest_forecast_assignments |
| clients | harvest_forecast_clients | id PK · linked to harvest_forecast_assignments |
FAQ
How does Datrise handle Harvest Forecast'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 Harvest Forecast 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 Harvest Forecast
- Harvest Forecast → Looker Studio
- Harvest Forecast → Microsoft Power BI
- Harvest Forecast → Tableau
- Harvest Forecast → Apache Superset
- Harvest Forecast → Metabase
- Harvest Forecast → Amazon QuickSight
- Harvest Forecast → Domo
- Harvest Forecast → Sisense
- Harvest Forecast → ThoughtSpot
- Harvest Forecast → Qlik
- Harvest Forecast → Mode
- Harvest Forecast → Redash
Early access
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