DatriseAI-first ETL

The Guardian API Looker Studio

AI-first ETL from The Guardian API into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads The Guardian API into Looker Studio

Datrise syncs The Guardian API's records, events, and configuration objects into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

The Guardian API: SaaS or API data source for analytics and warehouse sync.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How The Guardian API entities map to Looker Studio

The Guardian API entityLooker Studio objectNotes
recordsthe_guardian_api_recordsid PK · custom fields → flattened columns for chart fields
eventsthe_guardian_api_eventsdate dimension columns events
configuration objectsthe_guardian_api_configuration_objectsid PK · linked to the_guardian_api_records

FAQ

How does Datrise handle The Guardian API's custom fields in Looker Studio?

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

How does the The Guardian API to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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