@ShanthoshKumarkK

1. Google Cloud Project:

   • Set up a Google Cloud Project: Google Cloud Console.
   • Enable the BigQuery API for your project.

2. Service Account:

   • Create a service account in the Google Cloud Console with appropriate BigQuery permissions.
   • Download the service account key as a JSON file.

3. BigQuery Dataset and Table:

   • Create a dataset and table in BigQuery where you want to store or retrieve data from Pega.

Steps for Integration:

1. Create a Pega Data Page:

   • In Pega, create a Data Page that will be used to interact with Google BigQuery.
   • Configure the Data Page to use a Connect-SQL rule to connect to Google BigQuery.

2. Configure the Connect-SQL Rule:

   • In Pega, use a Connect-SQL rule to define the SQL statement that interacts with Google BigQuery.
   • Use the service account credentials and information about your BigQuery dataset and table.

3. Implement Data Transformations:

   • If needed, implement data transformations in Pega to ensure the data exchanged between Pega and BigQuery is in the expected format.

4. Test the Integration:

   • Test the integration by running the Data Page or other Pega components that use the Connect-SQL rule.
   • Verify that data is correctly exchanged between Pega and Google BigQuery.

5. Handle Authentication:

   • Ensure that the service account key is securely stored and managed in Pega.
   • Implement proper authentication mechanisms, such as securely managing and rotating credentials.

Hope this helps. create the google account and eanble the api to use and consume in pega have fun :).