Azure Databricks should have more granular level access permissions
Currently, Azure Databricks Workspace provides only 4 options for access permissions.
- Workspace Access Control
- Cluster and Jobs Access Control
- Table Access Control
- Personal Access Tokens.
These permissions give more access to user than requirement.
Would it be possible to create more permissions under Access Control ?
Specifically for below requirements
Access to view data sources
Access to view Databrick runs to check failures and their reasons
Access to view data changes and deployment issues
Access to troubleshoot data processing failures caused by Data issues, System errors in Databricks workspace
29
votes
Ganesh Ghadge
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