Hello Oracle Community,I am currently exploring the Oracle AI Data Platform (AIDP) Workbench and working on organizing data assets and security configurations. I would love to hear from the community: What are the best practices for structuring Master Catalogs versus Standard Catalogs, and how can we effectively implement Role-Based Access Control (RBAC) to maintain security without over-provisioning permissions?Looking forward to your insights and sharing experiences!Best regards,Sultan
Hi @SOULTAN,
Welcome to the Oracle Analytics & AI Community.
You may find the following Oracle AI Data Platform resources useful, as they discuss recommended approaches for organizing Workbenches, Workspaces, catalogs and access controls.
While every implementation depends on your organization's governance model and requirements, these blogs provide a good starting point for understanding Oracle's recommended patterns.
Best Practices for Structuring AIDP Workbenches and Workspaces:
https://blogs.oracle.com/ai-data-platform/best-practices-for-structuring-aidp-workbenches-and-workspaces
Designing Secure Collaboration in Oracle AI Data Platform:
https://blogs.oracle.com/ai-data-platform/designing-secure-collaboration-in-oracle-ai-data-platform
These articles cover topics such as structuring catalogs around business domains, workspace organization, and implementing RBAC using the principle of least privilege. Hopefully they provide some guidance while others in the community share their real-world experiences.
Hope this help.
Thank you.
Additionally, you may also find this Oracle AI Data Platform overview/demo helpful, as it walks through the platform concepts and configuration from a practical perspective:
How to Configure IAM and RBAC in Oracle AI Data Platform:
Sometimes seeing the platform in action makes it easier to understand how the catalog hierarchy, workspaces and security model fit together alongside the guidance in the Oracle blogs.
It would also be interesting to hear how other community members have structured their Master Catalogs versus Standard Catalogs in production environments, as there can be multiple valid approaches depending on governance and data ownership requirements.
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