Harvest Forecast to ThoughtSpot Integration
AI-first ETL from Harvest Forecast into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest Forecast into ThoughtSpot
Datrise syncs Harvest Forecast's assignments, people, projects, clients, milestones, and scheduled hours into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Harvest Forecast: Resource scheduling and project capacity planning.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Harvest Forecast entities map to ThoughtSpot
| Harvest Forecast entity | ThoughtSpot object | Notes |
|---|---|---|
| assignments | harvest_forecast_assignments | id PK · custom fields → flattened columns for searchable fields |
| 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Harvest Forecast to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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More sources for ThoughtSpot
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