DatriseAI-first ETL

Workday Amazon DynamoDB

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

How Datrise loads Workday into Amazon DynamoDB

Datrise syncs Workday's HR, finance entities, organizational structures, and operational events 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

Workday: Enterprise HR and finance source for operational reporting.

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

How Workday entities map to Amazon DynamoDB

Workday entityAmazon DynamoDB objectNotes
HRworkday_hrid PK · custom fields → nested map/list attributes
finance entitiesworkday_finance_entitiesid PK · linked to workday_hr
organizational structuresworkday_organizational_structuresid PK · linked to workday_hr
operational eventsworkday_operational_eventsISO-8601 string or epoch number attributes events

FAQ

How does Datrise handle Workday'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 Workday 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

Early access

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