DatriseAI-first ETL

Exchange Rates API to Yellowfin Integration

AI-first ETL from Exchange Rates API into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Exchange Rates API into Yellowfin

Datrise syncs Exchange Rates API's exchange rates, currency pairs, base currencies, rate dates, and historical rates 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

Exchange Rates API: Foreign exchange reference rates by currency pair.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Exchange Rates API entities map to Yellowfin

Exchange Rates API entityYellowfin objectNotes
exchange ratesexchange_rates_api_exchange_ratesdate/time dimensions events
currency pairsexchange_rates_api_currency_pairsid PK · linked to exchange_rates_api_exchange_rates
base currenciesexchange_rates_api_base_currenciesid PK · linked to exchange_rates_api_exchange_rates
rate datesexchange_rates_api_rate_datesid PK · linked to exchange_rates_api_exchange_rates

FAQ

How does Datrise handle Exchange Rates API'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 Exchange Rates API to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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