DatriseAI-first ETL

Workday MySQL

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

How Datrise loads Workday into MySQL

Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Workday: Enterprise HR and finance source for operational reporting.

MySQL: Widely used OSS relational engine (InnoDB).

How Workday entities map to MySQL

Workday entityMySQL objectNotes
HRworkday_hrid PK · custom fields → JSON columns
finance entitiesworkday_finance_entitiesid PK · linked to workday_hr
organizational structuresworkday_organizational_structuresid PK · linked to workday_hr
operational eventsworkday_operational_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Workday's custom fields in MySQL?

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

How does the Workday to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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