DatriseAI-first ETL

Exchange Rates API to Databricks SQL Warehouse Integration

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

How Datrise loads Exchange Rates API into Databricks SQL Warehouse

Datrise syncs Exchange Rates API's exchange rates, currency pairs, base currencies, rate dates, and historical rates into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

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

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Exchange Rates API entities map to Databricks SQL Warehouse

Exchange Rates API entityDatabricks SQL Warehouse objectNotes
exchange ratesexchange_rates_api_exchange_ratesTIMESTAMP 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 Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Exchange Rates API to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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