DatriseAI-first ETL

MyCase to GoodData Integration

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

How Datrise loads MyCase into GoodData

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents 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

MyCase: Case management and client intake for law firms.

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

How MyCase entities map to GoodData

MyCase entityGoodData objectNotes
casesmycase_casesid PK · custom fields → flattened columns
clientsmycase_clientsid PK · linked to mycase_cases
leadsmycase_leadsid PK · linked to mycase_cases
time entriesmycase_time_entriesid PK · linked to mycase_cases

FAQ

How does Datrise handle MyCase'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 MyCase 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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