DatriseAI-first ETL

Short.io to Azure Synapse Integration

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

How Datrise loads Short.io into Azure Synapse

Datrise syncs Short.io's links, domains, clicks, referrers, countries, and link tags 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

Short.io: Branded short links and click analytics.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Short.io entities map to Azure Synapse

Short.io entityAzure Synapse objectNotes
linksshort_io_linksid PK · custom fields → NVARCHAR(MAX) JSON columns
domainsshort_io_domainsid PK · linked to short_io_links
clicksshort_io_clicksid PK · linked to short_io_links
referrersshort_io_referrersid PK · linked to short_io_links

FAQ

How does Datrise handle Short.io'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 Short.io 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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