DatriseAI-first ETL

AWS CloudTrail to Azure Synapse Integration

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

How Datrise loads AWS CloudTrail into Azure Synapse

Datrise syncs AWS CloudTrail's API events, identities, resources, event sources, error codes, and request parameters into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

AWS CloudTrail: AWS account activity and API audit logging.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How AWS CloudTrail entities map to Azure Synapse

AWS CloudTrail entityAzure Synapse objectNotes
API eventsaws_cloudtrail_api_eventsdatetime2 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_sourcesdatetime2 events

FAQ

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

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the AWS CloudTrail to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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