Build Plaid-Connected ETL Processes in Google Data Fusion

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Plaid JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Plaid account data including Assets, Investments, Liabilities, Transactions, and more!



Load the CData JDBC Driver into Google Data Fusion and create ETL processes with access live Plaid data.

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Plaid enables users to access live Plaid data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Plaid data to any data source natively supported in Google Data Fusion, this article walks through piping data from Plaid to Google BigQuery,

Upload the CData JDBC Driver for Plaid to Google Data Fusion

Upload the CData JDBC Driver for Plaid to your Google Data Fusion instance to work with live Plaid data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdataplaid-2020.jar

  1. Open your Google Data Fusion instance
  2. Click the to add an entity and upload a driver
  3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
  4. On the "Driver configuration" tab:
    • Name: Create a name for the driver (cdata.jdbc.plaid) and make note of the name
    • Class name: Set the JDBC class name: (cdata.jdbc.plaid.PlaidDriver)
  5. Click "Finish"

Connect to Plaid Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Plaid data in Google Data Fusion Pipelines.

  1. Navigate to the Pipeline Studio to create a new Pipeline
  2. From the "Source" options, click "Database" to add a source for the JDBC Driver
  3. Click "Properties" on the Database source to edit the properties

    NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

    • Set the Label
    • Set Reference Name to a value for any future references (i.e.: cdata-plaid)
    • Set Plugin Type to "jdbc"
    • Set Connection String to the JDBC URL for Plaid. For example:

      jdbc:plaid:RTK=5246...;AccountId=123456789;InitiateOAuth=GETANDREFRESH;

      You can connect to Plaid using the embedded OAuth connectivity. When you connect, the Plaid OAuth endpoint opens in your browser. Log in and grant permissions to complete the OAuth process. See the OAuth section in the online Help documentation for more information on other OAuth authentication flows.

      Optionally set the Account Id property to return data related to a specific Account.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Plaid JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.plaid.jar

      Fill in the connection properties and copy the connection string to the clipboard.

    • Set Import Query to a SQL query that will extract the data you want from Plaid, i.e.:
      SELECT * FROM Transactions
  4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
  5. Click "Properties" on the BigQuery sink to edit the properties
    • Set the Label
    • Set Reference Name to a value like plaid-bigquery
    • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
    • Set Dataset to a specific Google BigQuery dataset
    • Set Table to the name of the table you wish to insert Plaid data into

With the Source and Sink configured, you are ready to pipe Plaid data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Plaid and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex Plaid pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Plaid and start working with your live Plaid data in Google Data Fusion today.