DatriseAI-first ETL

WaiterAid to ThoughtSpot Integration

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

How Datrise loads WaiterAid into ThoughtSpot

Datrise syncs WaiterAid's bookings, guests, tables, restaurants, time slots, and booking statuses 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

WaiterAid: Restaurant reservations and table management.

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

How WaiterAid entities map to ThoughtSpot

WaiterAid entityThoughtSpot objectNotes
bookingswaiteraid_bookingsid PK · custom fields → flattened columns for searchable fields
guestswaiteraid_guestsid PK · linked to waiteraid_bookings
tableswaiteraid_tablesid PK · linked to waiteraid_bookings
restaurantswaiteraid_restaurantsid PK · linked to waiteraid_bookings

FAQ

How does Datrise handle WaiterAid'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 WaiterAid to ThoughtSpot sync stay up to date?

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

Related pipelines

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