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Exchange the Authorization Code to get the Access Token and Refresh Token by sending a Token request to Google.

Send an Authorization request to Google to get the Authorization Code.

Create an OAuth ClientID to get ClientID and Client Secret.

To get the Access Token and Refresh token, we need to:.

We need two pieces of information to access Google BigQuery data using the Progress DataDirect Google BigQuery JDBC Connector – Access Token and Refresh Token.

OAuth2.0 is another authentication we can use to access our Google BigQuery data from Progress DataDirect Google BigQuery Connector.

Click on Profile card, and select the All Attributes tab.

In the left pane, go to the Profile, click Customers.Ģ. To view details in the customer section, do the following:ġ.

Dbeaver bigquery download#

Click the table name to view attributes, data, and download the CSV file. In the left pane, go to the Lakehouse and click Databases to find your table in the Gold > Enrichment list.Ģ. To view details in the Tables section, do the following:ġ.After the enrichment process, you can view details in the Tables and the customer section as follows:.View the items in a specific Group (For example, Name, Enrichment, status) See the run history of the BigQuery enrichment After the run process, click the My Enrichments tab to see the BigQuery enrichment.Įdit a workflow for previously created BigQuery enrichment.Enter Enrichment name > Output table name.Name BigQuery enrichment, review, and run Select the BigQuery table from the Target drop-down list.Select the source table from the Source drop-down list.Map your field name to the corresponding BigQuery table field In the BigQuery Data drop-down list, choose a data set containing customer profiles related data from BigQuery.Choose a Customer data set from the drop-down list.P12 file uses Public Key Cryptography Standard (PKCS) encryption to store private key and other sensitive information. Option to enter Google cloud platform Project Id. Option to enter your email associated with Google BigQuery. Click Choose File to upload a P12 file.Enter your BigQuery Service Account credentials for validation – Email, Project Id, Password.If you want to change the existing BigQuery connection, select a Connection for enrichment from the drop-down list, then click Edit.Click Add connection to add a new link.

You can create a connection that allows SkyPoint Cloud instance to share data with another service. Select and set up your BigQuery connection

Review and run: Add the name for the enrichment and review the settings before running the enrichment.

Attribute mapping: Map the related fields from the customer table and the BigQuery table to get the data based on the mapped fields.

Required data: Choose a table containing customer profiles and related data from BigQuery to enrich.

Connect: Select the connection for enrichment.

The BigQuery enrichment consists of four steps, and you need to perform in the following order:

In the left pane, go to Profile > Enrichment, and select the Discover tab.

Google BigQuery Service Account credentials for validation – Email, Project Id, Password.

To configure BigQuery enrichment, the following prerequisites must be met: SkyPoint provides a feature to enrich your customer data with data from the BigQuery enrichment connector. BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data.