DatriseAI-first ETL

Taboola to ThoughtSpot Integration

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

How Datrise loads Taboola into ThoughtSpot

Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions 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

Taboola: Content recommendation and native advertising.

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

How Taboola entities map to ThoughtSpot

Taboola entityThoughtSpot objectNotes
campaignstaboola_campaignsid PK · custom fields → flattened columns for searchable fields
campaign itemstaboola_campaign_itemsid PK · linked to taboola_campaigns
sitestaboola_sitesid PK · linked to taboola_campaigns
spendtaboola_spendid PK · linked to taboola_campaigns

FAQ

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

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

Related pipelines

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