DatriseAI-first ETL

Excel File to Amazon DynamoDB Integration

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

How Datrise loads Excel File into Amazon DynamoDB

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Excel File: Spreadsheet workbooks from exports and shared drives.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Excel File entities map to Amazon DynamoDB

Excel File entityAmazon DynamoDB objectNotes
worksheetsexcel_file_worksheetsid PK · custom fields → nested map/list attributes
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 Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Excel File to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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