DatriseAI-first ETL

Zendesk Sunshine to CSV Files Integration

AI-first ETL from Zendesk Sunshine into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zendesk Sunshine into CSV Files

Datrise syncs Zendesk Sunshine's custom objects, object records, profiles, events, relationships, and attributes into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

Zendesk Sunshine: Custom objects and unified customer profiles.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Zendesk Sunshine entities map to CSV Files

Zendesk Sunshine entityCSV Files objectNotes
custom objectszendesk_sunshine_custom_objectsid PK · custom fields → JSON-encoded strings for nested fields
object recordszendesk_sunshine_object_recordsid PK · linked to zendesk_sunshine_custom_objects
profileszendesk_sunshine_profilesid PK · linked to zendesk_sunshine_custom_objects
eventszendesk_sunshine_eventsISO-8601 timestamp columns events

FAQ

How does Datrise handle Zendesk Sunshine's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the Zendesk Sunshine to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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