DatriseAI-first ETL

Harvest Forecast to Holistics Integration

AI-first ETL from Harvest Forecast into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Harvest Forecast into Holistics

Datrise syncs Harvest Forecast's assignments, people, projects, clients, milestones, and scheduled hours into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Harvest Forecast: Resource scheduling and project capacity planning.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Harvest Forecast entities map to Holistics

Harvest Forecast entityHolistics objectNotes
assignmentsharvest_forecast_assignmentsid PK · custom fields → flattened columns for the modeling layer
peopleharvest_forecast_peopleid PK · linked to harvest_forecast_assignments
projectsharvest_forecast_projectsid PK · linked to harvest_forecast_assignments
clientsharvest_forecast_clientsid PK · linked to harvest_forecast_assignments

FAQ

How does Datrise handle Harvest Forecast's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Harvest Forecast to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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