DatriseAI-first ETL

MyCase Birst

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

How Datrise loads MyCase into Birst

Datrise syncs MyCase's contacts, accounts, deals, activities, and lifecycle events into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

MyCase: Legal practice CRM for matters, clients, and intake workflows.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How MyCase entities map to Birst

MyCase entityBirst objectNotes
contactsmycase_contactsid PK · custom fields → flattened columns
accountsmycase_accountsid PK · linked to mycase_contacts
dealsmycase_dealsid PK · linked to mycase_contacts
activitiesmycase_activitiesdate/time dimensions events

FAQ

How does Datrise handle MyCase's custom fields in Birst?

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 Birst types.

How does the MyCase to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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