Connect Dwolla to BigQuery
Send Dwolla customers, funding sources, events and 2 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset dwolla
customersfunding_sourceseventsexchange_partnersbusiness_classifications
How to connect Dwolla and BigQuery
4 steps. You can preview the Dwolla data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Dwolla
Enter your Dwolla client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Dwolla data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Dwolla data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites customers with fresh Dwolla data.
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5 data types, including Customers, Funding sources, Events, Exchange partners and Business classifications.
With your Dwolla client ID and client secret, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Dwolla data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example QuickBooks or Xero, and join or append them before the data reaches BigQuery.
