DatriseAI-first ETL

JobAdder to ThoughtSpot Integration

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

How Datrise loads JobAdder into ThoughtSpot

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview notes 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

JobAdder: Recruitment platform for job ads, applications, and placements.

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

How JobAdder entities map to ThoughtSpot

JobAdder entityThoughtSpot objectNotes
candidatesjobadder_candidatesid PK · custom fields → flattened columns for searchable fields
jobsjobadder_jobsid PK · linked to jobadder_candidates
applicationsjobadder_applicationsid PK · linked to jobadder_candidates
placementsjobadder_placementsid PK · linked to jobadder_candidates

FAQ

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

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

Related pipelines

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