DatriseAI-first ETL

Visma E Conomic Spotfire

AI-first ETL from Visma E Conomic into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads Visma E Conomic into Spotfire

Datrise syncs Visma E Conomic's records, events, and configuration objects into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Visma E Conomic: SaaS or API data source for analytics and warehouse sync.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Visma E Conomic entities map to Spotfire

Visma E Conomic entitySpotfire objectNotes
recordsvisma_e_conomic_recordsid PK · custom fields → flattened columns for visualizations
eventsvisma_e_conomic_eventsdate/time columns events
configuration objectsvisma_e_conomic_configuration_objectsid PK · linked to visma_e_conomic_records

FAQ

How does Datrise handle Visma E Conomic's custom fields in Spotfire?

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

How does the Visma E Conomic to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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