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In order to set up dbt Cloud to BigQuery, you will need to create a new project in dbt Cloud. This involves selecting account settings, clicking on '+ New Project', entering a project name and selecting BigQuery for the warehouse.
Create new project -> Select Account settings -> Click + New Project -> Enter project name -> Select BigQuery for warehouse
This code example represents the sequence of steps to create a new project in dbt Cloud and select BigQuery as the warehouse. Each step is separated by an arrow.
Setting up the connection involves uploading a Service Account JSON File in the settings. You then select the JSON file that was downloaded when you generated BigQuery credentials.
In Settings -> Click Upload a Service Account JSON File -> Select the JSON file
This code example outlines the steps to upload a Service Account JSON File in the settings of dbt Cloud and select the JSON file that was downloaded when generating BigQuery credentials.
To test the connection, you click on 'Test Connection'. If the test fails, you need to regenerate the BigQuery credentials. If the test succeeds, you can proceed to the next step.
Click Test Connection -> If test fails, regenerate BigQuery credentials -> If test succeeds, click Next
This code example demonstrates the steps to test the connection in dbt Cloud to BigQuery. It includes the actions to take if the test fails or succeeds.
For more information on using dbt with BigQuery, you can consult the docs.github.com/dbt-bigquery package.
Consult docs.github.com/dbt-bigquery package
This code example suggests consulting the docs.github.com/dbt-bigquery package for more information on using dbt with BigQuery.