DatriseAI-first ETL

Coin API Looker Studio

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

How Datrise loads Coin API into Looker Studio

Datrise syncs Coin 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

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

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

How Coin API entities map to Looker Studio

Coin API entityLooker Studio objectNotes
recordscoin_api_recordsid PK · custom fields → flattened columns for chart fields
eventscoin_api_eventsdate dimension columns events
configuration objectscoin_api_configuration_objectsid PK · linked to coin_api_records

FAQ

How does Datrise handle Coin 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 Coin 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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