DatriseAI-first ETL

Salesforce Health Cloud to GoodData Integration

AI-first ETL from Salesforce Health Cloud into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Health Cloud into GoodData

Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents 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

Salesforce Health Cloud: Patient and member relationship management on Salesforce.

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

How Salesforce Health Cloud entities map to GoodData

Salesforce Health Cloud entityGoodData objectNotes
patientssalesforce_health_cloud_patientsid PK · custom fields → flattened columns
care planssalesforce_health_cloud_care_plansid PK · linked to salesforce_health_cloud_patients
care teamssalesforce_health_cloud_care_teamsid PK · linked to salesforce_health_cloud_patients
clinical encounterssalesforce_health_cloud_clinical_encountersid PK · linked to salesforce_health_cloud_patients

FAQ

How does Datrise handle Salesforce Health Cloud'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 Salesforce Health Cloud to GoodData sync stay up to date?

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

Related pipelines

Early access

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