DatriseAI-first ETL

SendGrid to Looker Integration

AI-first ETL from SendGrid into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads SendGrid into Looker

Datrise syncs SendGrid's messages, contacts, delivery events, bounces, opens, and marketing campaigns into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

SendGrid: Transactional email delivery and engagement events.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How SendGrid entities map to Looker

SendGrid entityLooker objectNotes
messagessendgrid_core_messagesid PK · custom fields → flattened columns (nested fields expanded for modeling)
contactssendgrid_core_contactsid PK · linked to sendgrid_core_messages
delivery eventssendgrid_core_delivery_eventsdate/time dimension columns events
bouncessendgrid_core_bouncesid PK · linked to sendgrid_core_messages

FAQ

How does Datrise handle SendGrid's custom fields in Looker?

Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.

How does the SendGrid to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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