Since launch of Datasphere catalog back in March 2023, we are continuously making improvements based on your feedback and I am back again to share one such improvement. Customers can now configure a service user for metadata extraction from SAP Analytics Cloud and SAP Datasphere to SAP Datasphere catalog. This will be available with 2023.24 release. Another highlight is the revamped monitoring screens for streamlined user experience; which you can see a glimpse of in the demo video below. I will focus on service user for this blog.
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Today the connection to SAP Analytics Cloud and SAP Datasphere is through a technical user in the backend. In SAP Analytics Cloud case, metadata is only extracted from public folder whereas for SAP Datasphere everything is extracted. We realize that this is not ideal as not all content is useful or desired to be cataloged. For e.g private content that has been created in SAC for self-service BI. The opposite is also true where you might want to extract content from SAP Analytics Cloud workspaces but it currently is not supported
Another case would be where you might have data in particular space in Datasphere whose metadata you don’t want to be available in catalog; like a HR space.
The above scenarios can be achieved by setting up a service user in the tenants and configuring that in catalog while pairing. Datasphere catalog will look at the permissions and application-level privileges of this user and only extract content it has access to – this is applicable to both SAP Analytics Cloud and SAP Datasphere pairing. Customers will have to set -up user once, give them the right permissions be it folders/workspaces in SAP Analytics Cloud or Datasphere spaces and rest will be taken care of by the Datasphere catalog automatically. This will allow customers to have more control on scope of metadata extraction.
This enhanced pairing mechanism will be applicable to any new connections created after 2023.24 wave delivery. During sometime next year, configuring a service user will become mandatory for existing pairings so that we have a consistent scalable way of pairing.
Please refer to the note below for the timelines. Below is a list of scenarios you need to be aware of:
Scenarios for service user configuration
This is a demo video of how to utilize this feature for pairing. It covers setting up the service user, assigning the appropriate role and permissions, pairing the tenant, authenticating service user and synchronizing the tenants.
Please let me know in comments below in case you have any questions. Looking forward to your feedback as always.