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Connect Dwolla to Redshift

Send Dwolla customers, funding sources, events and 2 more data types to Redshift on a schedule. Filter by date. Refresh as often as every 15 minutes.

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Redshift schema dwolla
  • customers
  • funding_sources
  • events
  • exchange_partners
  • business_classifications
Each Dwolla data type lands in its own table. You pick the schema and table names.
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How to connect Dwolla and Redshift

4 steps. You can preview the Dwolla data in Coupler.io before anything reaches Redshift.

Step 1 of 4

Connect Dwolla

Enter your Dwolla client ID and client secret. You only do this once per account.

Client ID••••••••••••
Client secret••••••••••••

Step 2 of 4

Choose what to export

Pick the Dwolla data you want in Redshift.

EnvironmentNot setSpecify the Dwolla API environment. Use ‘api-sandbox’ for testing or ‘api’ for production.
Start dateAny dateSpecify the start date for exporting data from Dwolla.

Step 3 of 4

Connect Redshift

Enter your Redshift connection details, then the schema and table for the Dwolla data.

Hostexample-cluster.abc123.us-east-1.redshift.amazonaws.comCluster endpoint, without the database name
Port5439Default is 5439
DatabaseanalyticsThe target database name
TablecustomersCreated automatically on the first run
Show 3 more fields Show fewer fields
UsercouplerUser with CREATE and INSERT privileges
Password••••••••••••The database user's password
SchemadwollaCreated automatically if it doesn't exist

Step 4 of 4

Choose a write mode and schedule

Every run either replaces or appends the data in Redshift. Run it as often as every 15 minutes.

Write mode

Each run drops and recreates customers with fresh Dwolla data.

Get the most of Dwolla to Redshift integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Dwolla to Redshift questions

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 database user has CREATE privileges. Coupler.io creates the dwolla schema and the customers table on the first run.

With Replace, Coupler.io recreates customers, so new Dwolla columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.

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 Redshift.

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