Short.io to Yellowfin Integration
AI-first ETL from Short.io into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Short.io into Yellowfin
Datrise syncs Short.io's links, domains, clicks, referrers, countries, and link tags into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Short.io: Branded short links and click analytics.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Short.io entities map to Yellowfin
| Short.io entity | Yellowfin object | Notes |
|---|---|---|
| links | short_io_links | id PK · custom fields → flattened columns |
| domains | short_io_domains | id PK · linked to short_io_links |
| clicks | short_io_clicks | id PK · linked to short_io_links |
| referrers | short_io_referrers | id PK · linked to short_io_links |
FAQ
How does Datrise handle Short.io's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Short.io to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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