DatriseAI-first ETL

Source Dynamodb ThoughtSpot

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

How Datrise loads Source Dynamodb into ThoughtSpot

Datrise syncs Source Dynamodb's records, events, and configuration objects into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Source Dynamodb entities map to ThoughtSpot

Source Dynamodb entityThoughtSpot objectNotes
recordssource_dynamodb_recordsid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

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

Related pipelines

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