Connector
Collect Open Exchange Rates Data into Google BigQuery
Own your Open Exchange Rates data in Google BigQuery with OWOX Data Marts. Collect up-to-date and historical currency exchange rates directly into BigQuery, control schema and refresh logic, and reuse the data across BI tools and AI Insights.
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open-source connector installs via npm
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S01 · Step 1
Step 1: Create a Google BigQuery Data Storage
Start by connecting your own Google BigQuery project as a data storage.
- Use your own BigQuery project and datasets
- Keep full ownership of exchange rate data
- No third-party data warehouses
S02 · Step 2
Step 2: Create an Open Exchange Rates Data Mart
Create a new Data Mart and choose Connector as the definition type.
- Select Open Exchange Rates as the data source
- Provide the required API access details
- No API coding or engineering required
S03 · Step 3
Step 3: Select Fields & Configure Data Import
Choose exactly which exchange rate data you want to store in BigQuery.
- Select the appropriate Open Exchange Rates endpoint
- Choose base currency, target currencies, and rate fields
- Define the destination dataset and table name in BigQuery
S04 · Step 4
Step 4: Run & Schedule Exchange Rates Data Collection
Once published, control how and when exchange rate data is imported.
- Incremental load to import the latest rates
- Backfill (custom period) to load historical FX data
- All runs are logged and visible in Run History
S05 · Step 5
Step 5: Use Exchange Rates Data Across BI Tools & AI Insights
Your Open Exchange Rates data is now available in Google BigQuery.
- Convert revenue, costs, or ad spend using trusted FX rates
- Analyze data in Google Sheets or Looker Studio
- Join currency data with marketing, sales, or finance datasets
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