DatriseAI-first ETL

AWS CloudTrail to Holistics Integration

AI-first ETL from AWS CloudTrail into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads AWS CloudTrail into Holistics

Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

AWS CloudTrail: AWS account activity and API audit logging.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How AWS CloudTrail entities map to Holistics

AWS CloudTrail entityHolistics objectNotes
API eventsaws_cloudtrail_api_eventsdate/time dimensions events
identitiesaws_cloudtrail_identitiesid PK · linked to aws_cloudtrail_api_events
resourcesaws_cloudtrail_resourcesid PK · linked to aws_cloudtrail_api_events
event sourcesaws_cloudtrail_event_sourcesdate/time dimensions events

FAQ

How does Datrise handle AWS CloudTrail's custom fields in Holistics?

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

How does the AWS CloudTrail to Holistics sync stay up to date?

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

Related pipelines

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