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URL: https://www.cdata.com/kb/tech/klaviyo-jdbc-google-data-fusion.rst

⇱ Build Klaviyo-Connected ETL Processes in Google Data Fusion


Build Klaviyo-Connected ETL Processes in Google Data Fusion

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Load the CData JDBC Driver into Google Data Fusion and create ETL processes with access live Klaviyo data.

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

Upload the CData JDBC Driver for Klaviyo to Google Data Fusion

Upload the CData JDBC Driver for Klaviyo to your Google Data Fusion instance to work with live Klaviyo 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: cdataklaviyo-2020.jar

  1. Open your Google Data Fusion instance
  2. Click the to add an entity and upload a driver πŸ‘ Image
  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.klaviyo) and make note of the name
    • Class name: Set the JDBC class name: (cdata.jdbc.klaviyo.KlaviyoDriver)
    πŸ‘ Configuring the driver (Salesforce is shown.)
  5. Click "Finish"

Connect to Klaviyo Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Klaviyo 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 πŸ‘ Adding a database source
  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-klaviyo)
    • Set Plugin Type to "jdbc"
    • Set Connection String to the JDBC URL for Klaviyo. For example:

      jdbc:klaviyo:RTK=5246...;APIKey=my_api_key;

      To authenticate to Klaviyo, provide an API Key. You can generate or view your API keys under 'My Account'

      1. Navigate to 'Settings' > 'API Keys'
      2. Click 'Create API Key'.
      3. Name your API key and choose the desired scopes.

      To connect in your CData solutions, set API Key to your Klaviyo API key.

      If you wish to use OAuth authentication, refer to the Help documenation.

      Built-in Connection String Designer

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

       java -jar cdata.jdbc.klaviyo.jar
       

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

      πŸ‘ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
    • Set Import Query to a SQL query that will extract the data you want from Klaviyo, i.e.:
      SELECT * FROM Campaigns
    πŸ‘ Configuring the database source
  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 klaviyo-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 Klaviyo data into
    πŸ‘ Configuring the BigQuery sink

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

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