SFTP Bulk to Amazon QuickSight Integration
AI-first ETL from SFTP Bulk into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads SFTP Bulk into Amazon QuickSight
Datrise syncs SFTP Bulk's files, directories, rows, file batches, modification timestamps, and file formats into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
SFTP Bulk: Bulk file drops delivered over SFTP.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How SFTP Bulk entities map to Amazon QuickSight
| SFTP Bulk entity | Amazon QuickSight object | Notes |
|---|---|---|
| files | sftp_bulk_files | id PK · custom fields → flattened columns for analyses |
| directories | sftp_bulk_directories | id PK · linked to sftp_bulk_files |
| rows | sftp_bulk_rows | id PK · linked to sftp_bulk_files |
| file batches | sftp_bulk_file_batches | id PK · linked to sftp_bulk_files |
FAQ
How does Datrise handle SFTP Bulk's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the SFTP Bulk to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
Connect SFTP Bulk to Amazon QuickSight the easy way
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