DatriseAI-first ETL

Source Dynamodb Tableau

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

How Datrise loads Source Dynamodb into Tableau

Datrise syncs Source Dynamodb's records, events, and configuration objects into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Source Dynamodb entities map to Tableau

Source Dynamodb entityTableau objectNotes
recordssource_dynamodb_recordsid PK · custom fields → flattened columns for Tableau fields
eventssource_dynamodb_eventsdate/datetime fields events
configuration objectssource_dynamodb_configuration_objectsid PK · linked to source_dynamodb_records

FAQ

How does Datrise handle Source Dynamodb's custom fields in Tableau?

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

How does the Source Dynamodb to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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