DatriseAI-first ETL

Aws Cloudtrail Looker Studio

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

How Datrise loads Aws Cloudtrail into Looker Studio

Datrise syncs Aws Cloudtrail'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

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

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

How Aws Cloudtrail entities map to Looker Studio

Aws Cloudtrail entityLooker Studio objectNotes
recordsaws_cloudtrail_recordsid PK · custom fields → flattened columns for chart fields
eventsaws_cloudtrail_eventsdate dimension columns events
configuration objectsaws_cloudtrail_configuration_objectsid PK · linked to aws_cloudtrail_records

FAQ

How does Datrise handle Aws Cloudtrail'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 Aws Cloudtrail 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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