DatriseAI-first ETL

Pexels API Spotfire

AI-first ETL from Pexels API into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads Pexels API into Spotfire

Datrise syncs Pexels API'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

Pexels API: SaaS or API data source for analytics and warehouse sync.

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

How Pexels API entities map to Spotfire

Pexels API entitySpotfire objectNotes
recordspexels_api_recordsid PK · custom fields → flattened columns for visualizations
eventspexels_api_eventsdate/time columns events
configuration objectspexels_api_configuration_objectsid PK · linked to pexels_api_records

FAQ

How does Datrise handle Pexels API'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 Pexels API 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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