The purpose of the GCP Deployment Request is to allow our client`s Data Science team access Boxalino datasets, for the goal of running jupyter/notebook processes in the designed anaconda environments.
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Environment Details
On a deployed application, the following stack is available:
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the Compute Engine - launch more applications https://console.cloud.google.com/compute/instances
the project`s BigQuery dataset (to store results, if required) https://console.cloud.google.com/bigquery
the Google Cloud Storage (GCS) to load files & store logs https://console.cloud.google.com/storage/browser
the Cloud Scheduler to create events (for automatic runs) https://console.cloud.google.com/cloudscheduler/start
BigQuery Datasets Access
Additionally, the project`s Compute Engine Default Service Account will have the following permissions on the client`s datasets in the Boxalino scope:
BigQuery Data Editor : <client>_lab, <client>_views
BigQuery Data Viewer : <client>_core, <client>_stage, <client>_reports, <client>_intelligence
Required Information
When contacting Boxalino with a GCP project deployment request, please provide the following information:
1 | project name | as will appear in your project`s list |
2 | the requestor is the one managing the applications running on the project; this email will receive messages (alert and notifications) for when the project is ready to be used; | |
3 | client name | (also known as the Boxalino account name) this is to ensure the access to the views, core & reports datasets (https://boxalino.atlassian.net/wiki/spaces/BPKB/pages/303792129/GCP+Project+Deployment#BigQuery-Datasets-Access ) |
4 | optional; the labels are used as project meta-information. see Labels | |
5 | optional; by default, the requestor will have full access and can further share with others. see Permissions |
Once the project is created (2-3 min), the requestor will have access to it, in their Google Cloud Console.
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As an editor on the project, the requestor will be able to:
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