Build Reply.io-Connected ETL Processes in Google Data Fusion

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

Upload the CData API Driver for JDBC to Google Data Fusion

Upload the CData API Driver for JDBC to your Google Data Fusion instance to work with live Reply.io 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: cdataapi-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.api) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.api.APIDriver)
   
5. Click "Finish"

Connect to Reply.io Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Reply.io 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-api)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Reply.io. For example:
     
     jdbc:api:RTK=5246...;Profile=C:\profiles\ReplyIO.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';

     The Reply.io API uses API Key authentication via the x-api-key request header.

     Using API Key Authentication

     Your Reply.io API key is required to create a connection. To obtain your API key:

     1. Log into your Reply.io account.
     2. Click your profile icon and select Settings.
     3. Navigate to the API section.
     4. Copy your API Key.

     After obtaining your API key, set the following connection properties:

     • AuthScheme: Set this to APIKey.
     • APIKey: Set this to your Reply.io API key.
     • UserEmail (optional): Set this to the email address of the Reply.io user on whose behalf requests are made.

     Example connection string:

     Profile=C:\profiles\ReplyIO.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';
     

     Built-in Connection String Designer

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

           java -jar cdata.jdbc.api.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 Reply.io, i.e.:
     SELECT * FROM BillingInfo
   
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 api-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 Reply.io data into
   

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

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