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An enterprise data engineering team is configuring a centralized Data Studio (Looker Studio) reporting dashboard connected to BigQuery. The dashboard will be shared with both internal business analysts who have report edit permissions and external stakeholders who have view-only access.
The solution must satisfy the following governance and operational requirements:
Which configuration should the data engineering team implement?
In Data Studio (Looker Studio), managing enterprise reporting at scale requires separating report layout editing from underlying data connection management, ensuring credential persistence, and restricting data dissemination. Creating a reusable data source that authenticates using a dedicated Google Cloud Service Account satisfies these requirements seamlessly.
Owner's Credentials). If the report creator departs the organization, scheduled refreshes and report queries continue uninterrupted.roles/bigquery.dataViewer and roles/bigquery.jobUser), eliminating the need to grant individual GCP IAM access to external viewers.This architecture establishes strict enterprise governance: reusable data sources lock down connection definitions, service accounts eliminate personal credential fragility, and advanced sharing settings prevent unauthorized data dissemination.
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