Introduction:
In the realm of data analytics and insights, accessing client BigQuery tables can be a critical requirement for organizations. This process empowers data-driven decisions, fosters collaboration, and enhances overall project efficiency. This blog post outlines a step-by-step guide on how can secure access to client BigQuery tables, enabling a seamless exchange of valuable data.
1. Access other Account BigQuery Tables.
Getting access to UI BigQuery
- Get the SprigHub Email Id and Copy it.
2. Go to Clients Google IAM with this link.
Note: Users need to log in with their Email to give access.
3. Select the project from the top Menu and Click Grant Access.
![](https://docs.sprighub.ai/wp-content/uploads/2023/08/image.png)
4. Enter the SprigHub Email on Which We want to access the table and Role as BigQuery Data Editor and Click Save.
![](https://docs.sprighub.ai/wp-content/uploads/2023/08/image-1.png)
2. Getting access to the service account.
- Copy the Service Account Email Id from SprigHub.
Ex: example-sprighub@sprighub.iam.gserviceaccount.com
2. Go to the client’s Google IAM with this link.
Note: Users need to log in with their Email to give access.
3. Select the project from the top Menu and Click Grant Access.
![](https://docs.sprighub.ai/wp-content/uploads/2023/08/image-2.png)
4. Enter the SprigHub Service Account Email on Which We want to access the table and Role as BigQuery Data Editor and Click Save.
![](https://docs.sprighub.ai/wp-content/uploads/2023/08/image-3.png)
5. For the Read only Permission Please select the Role as BigQuery Data Viewer.
![](https://docs.sprighub.ai/wp-content/uploads/2023/08/image-4.png)
Leave a Reply