Integrate BigQuery Data in Your Informatica Cloud Instance

Informatica Cloud allows you to perform extract, transform, and load (ETL) tasks in the cloud. With the Cloud Secure Agent and the CData JDBC Driver for Google BigQuery, you get live access to BigQuery data, directly within Informatica Cloud. In this article, we will walk through downloading and registering the Cloud Secure Agent, connecting to BigQuery through the JDBC Driver and generating a mapping that can be used in any Informatica Cloud process.

Getting Started

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Informatica Cloud Secure Agent

To work with the BigQuery data through the JDBC Driver, install the Cloud Secure Agent.

1. Navigate to the Administrator page in Informatica Cloud 👁 Image
   
2. Select the Runtime Environments tab
3. Click "Download Secure Agent" 👁 Image
   
4. Make note of the Install Token 👁 Image
   
5. Run the installer on the client machine and register the Cloud Secure Agent with your username and install token 👁 Image
   

NOTE: It may take some time for all of the Cloud Secure Agent services to get up and running.

Connecting to the BigQuery JDBC Driver

With the Cloud Secure Agent installed and running, you are ready to connect to BigQuery through the JDBC Driver.

Adding the JDBC Driver to the Secure Agent Machine

1. Navigate to the following directory on the Secure Agent machine:

   %Secure Agent installation directory%/ext/connectors/thirdparty/

2. Create a folder and add the driver JAR file (cdata.jdbc.googlebigquery.jar) based on the type of mapping that you want to configure.

   For mappings, create the following folder and add the driver JAR file:

   informatica.jdbc_v2/common

   For mappings in advanced mode, also create the following folder and add the driver JAR file:

   informatica.jdbc_v2/spark

3. Restart the Secure Agent.

Connecting to BigQuery in Informatica Cloud

After installing the driver JAR file, you are ready to configure your connection to BigQuery in Informatica Cloud. Start by clicking the Connections tab and clicking New Connection. Fill in the following properties for the connection:

• Connection Name: Name your connection (i.e.: CData BigQuery Connection)
• Type: Select "JDBC_V2"
• Runtime Environment: Select the runtime environment where you installed the Secure Agent
• JDBC Driver Class Name: The name of the JDBC driver class: cdata.jdbc.googlebigquery.GoogleBigQueryDriver
• JDBC Connection URL: Set this to the JDBC URL for BigQuery. Your URL will look similar to the following:
  
  

  jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH;

  Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

  OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.

  In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

  Built-In Connection String Designer

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

   java -jar cdata.jdbc.googlebigquery.jar
   

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

  👁 Using the built-in connection string designer to generate a JDBC URL (Google Sheets is shown.)
  
• Username: Set this to a placeholder value (since BigQuery does not require a username)
• Password: Set this to a placeholder value (since BigQuery does not require a password)

👁 Configuring the Connection (Google Sheets is shown.

Create a Mapping for BigQuery Data

With the connection to BigQuery configured, we can now access BigQuery data in any Informatica process. The steps below walk through creating a mapping for BigQuery to another data target.

1. Navigate to the Data Integration page 👁 Image
   
2. Click New.. and select Mapping from the Mappings tab 👁 Image
   
3. Click the Source Object and in the Source tab, select the Connection and set the Source Type 👁 Selecting the Source Connection and Source Type
   
4. Click "Select" to choose the table to map 👁 Selecting the Source Object
   
5. In the Fields tab, select the fields from the BigQuery table to map 👁 Selecting Source Fields to map
   
6. Click the Target object and configure the Target source, table and fields. In the Field Mapping tab, map the source fields to the target fields. 👁 Selecting the Target Field Mappings
   

With the mapping configured, you are ready to start integrating live BigQuery data with any of the supported connections in Informatica Cloud. Download a free, 30-day trial of the CData JDBC Driver for Google BigQuery and start working with your live BigQuery data in Informatica Cloud today.