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| 1 | project name | |
| 2 | GCS bucket path | the path where the Required Files are located (ex: gs://project-name/app); the contents will be made available on the application as well. |
| 3 | launch date | optional; projects can be scheduled for launch at a later day (tomorrow, etc) |
BigQuery access
As a data sciencescientist, chances are that you have been provided with a Service Account (SA) to access the client`s private projects.
The application is run by the project's own Compute Engine Service Account (CE SA).
Because the project is in the scope of Boxalino, it will have direct read access to the client's datasets.
In order for the Application Launch to be able to access the client's own project dataset,
the CE SA will have to "impersonate" the SA in the client's project.
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Go to the client`s private project IAM & Admin menu
Navigate to Service Accounts
Locate the service account with access provided for the scope of the application deployment
On top-right, click on “Show Info Panel”.
Add the CE SA and set the “Service Account User” permission
The output of the application can be stored directly in the deployed GCP project scope (BigQuery, GCS, etc)
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