DatriseAI-first ETL

Excel File to Oracle Database Integration

AI-first ETL from Excel File into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Excel File into Oracle Database

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Excel File: Spreadsheet workbooks from exports and shared drives.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Excel File entities map to Oracle Database

Excel File entityOracle Database objectNotes
worksheetsexcel_file_worksheetsid PK · custom fields → JSON or CLOB columns
rowsexcel_file_rowsid PK · linked to excel_file_worksheets
columnsexcel_file_columnsid PK · linked to excel_file_worksheets
headersexcel_file_headersid PK · linked to excel_file_worksheets

FAQ

How does Datrise handle Excel File's custom fields in Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the Excel File to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

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