DatriseAI-first ETL

Formkeep to Looker Integration

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

How Datrise loads Formkeep into Looker

Datrise syncs Formkeep's forms, submissions, fields, answers, spam flags, and notifications 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

Formkeep: Hosted form endpoints and submission storage.

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

How Formkeep entities map to Looker

Formkeep entityLooker objectNotes
formsformkeep_formsid PK · custom fields → flattened columns (nested fields expanded for modeling)
submissionsformkeep_submissionsid PK · linked to formkeep_forms
fieldsformkeep_fieldsid PK · linked to formkeep_forms
answersformkeep_answersid PK · linked to formkeep_forms

FAQ

How does Datrise handle Formkeep'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 Formkeep 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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