DatriseAI-first ETL

Mailjet SMS Birst

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

How Datrise loads Mailjet SMS into Birst

Datrise syncs Mailjet SMS's records, events, and configuration objects 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

Mailjet SMS: SaaS or API data source for analytics and warehouse sync.

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

How Mailjet SMS entities map to Birst

Mailjet SMS entityBirst objectNotes
recordsmailjet_sms_recordsid PK · custom fields → flattened columns
eventsmailjet_sms_eventsdate/time dimensions events
configuration objectsmailjet_sms_configuration_objectsid PK · linked to mailjet_sms_records

FAQ

How does Datrise handle Mailjet SMS'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 Mailjet SMS 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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