DatriseAI-first ETL

Referral Saasquatch GoodData

AI-first ETL from Referral Saasquatch into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads Referral Saasquatch into GoodData

Datrise syncs Referral Saasquatch's records, events, and configuration objects into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Referral Saasquatch: SaaS or API data source for analytics and warehouse sync.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Referral Saasquatch entities map to GoodData

Referral Saasquatch entityGoodData objectNotes
recordsreferral_saasquatch_recordsid PK · custom fields → flattened columns
eventsreferral_saasquatch_eventsdate dimensions events
configuration objectsreferral_saasquatch_configuration_objectsid PK · linked to referral_saasquatch_records

FAQ

How does Datrise handle Referral Saasquatch's custom fields in GoodData?

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

How does the Referral Saasquatch to GoodData sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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