DatriseAI-first ETL

Aws Cloudtrail Azure Synapse

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 records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Aws Cloudtrail entities map to Azure Synapse

Aws Cloudtrail entityAzure Synapse objectNotes
recordsaws_cloudtrail_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsaws_cloudtrail_eventsdatetime2 events
configuration objectsaws_cloudtrail_configuration_objectsid PK · linked to aws_cloudtrail_records

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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