DatriseAI-first ETL

SFTP Bulk to ThoughtSpot Integration

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

How Datrise loads SFTP Bulk into ThoughtSpot

Datrise syncs SFTP Bulk's files, directories, rows, file batches, modification timestamps, and file formats 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

SFTP Bulk: Bulk file drops delivered over SFTP.

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

How SFTP Bulk entities map to ThoughtSpot

SFTP Bulk entityThoughtSpot objectNotes
filessftp_bulk_filesid PK · custom fields → flattened columns for searchable fields
directoriessftp_bulk_directoriesid PK · linked to sftp_bulk_files
rowssftp_bulk_rowsid PK · linked to sftp_bulk_files
file batchessftp_bulk_file_batchesid PK · linked to sftp_bulk_files

FAQ

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

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

Related pipelines

Early access

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