With Lingk, you can set up a connection to a Google BigQuery data warehouse instance to perform advanced ETL operations on a BigQuery DW. BigQuery is a fully-managed, serverless, Platform as a service (PaaS) data warehouse that enables scalable analysis over petabytes of data.Prerequisite(s) / RequiredTo use the BigQuery connector, you must have:Access to a GCP ProjectAccess to the BigQuery APICompatibilityThe BigQuery connector supports all instances of a cloud BigQuery data warehouse.STEP 1 - Get project API keys from Cloud ConsoleIf you do not already have an account, sign up for Google Cloud and set up billing. However, if you have an account, sign in to https://console.cloud.google.com/bigquery.If you don't have the API enabled, you will be redirected to enable the BigQuery API.Once the API is enabled, click MANAGE.You are redirected to the BigQuery API management page for your project. If you don't already have a project, you would be directed on how to create one.Click Credentials >> Create CredentialsCreate an Oauth 2.0 Client ID credential and follow the instructions. Then download the JSON secret key file.If you already have an Oauth 2.0 credential, you can download the JSON secret key file b yclicking the download icon.Go to User Profile > Web services and create an access token.STEP 2 - Connect your BigQuery project to LingkWith your project ID and access token downloaded from Step 1, fill in the required fields.Click "Save and Test Connection".OptionalMake this my default connection: Sets the current connection as default (if you have multiple connectors of the same type).Make this available via API: Makes the connection available as a REST API for external integration.