DatriseAI-first ETL

Source Dynamodb Spotfire

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

How Datrise loads Source Dynamodb into Spotfire

Datrise syncs Source Dynamodb'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

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

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

How Source Dynamodb entities map to Spotfire

Source Dynamodb entitySpotfire objectNotes
recordssource_dynamodb_recordsid PK · custom fields → flattened columns for visualizations
eventssource_dynamodb_eventsdate/time columns events
configuration objectssource_dynamodb_configuration_objectsid PK · linked to source_dynamodb_records

FAQ

How does Datrise handle Source Dynamodb'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 Source Dynamodb 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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