DatriseAI-first ETL

Amazon Ads to Azure Synapse Integration

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

How Datrise loads Amazon Ads into Azure Synapse

Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales 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

Amazon Ads: Sponsored ads across Amazon retail placements.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Amazon Ads entities map to Azure Synapse

Amazon Ads entityAzure Synapse objectNotes
campaignsamazon_ads_campaignsid PK · custom fields → NVARCHAR(MAX) JSON columns
ad groupsamazon_ads_ad_groupsid PK · linked to amazon_ads_campaigns
keywordsamazon_ads_keywordsid PK · linked to amazon_ads_campaigns
spendamazon_ads_spendid PK · linked to amazon_ads_campaigns

FAQ

How does Datrise handle Amazon Ads'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 Amazon Ads to Azure Synapse sync stay up to date?

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

Related pipelines

Early access

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