Confession time.
When SAS Drive was retired in 2025.03 LTS, I nodded politely and moved on.
“Sure,” I thought. “Content management changes. Makes sense.”
What I didn’t realize was that this change quietly solved one of the biggest pain points students face during group work and hackathons:
“Why can’t we share our SAS Model Studio project with each other?”
It turns out… we can.
And it’s now shockingly simple.
For years, collaborative modeling using SAS Model Studio inside SAS Viya for Learners (VFL) required workarounds:
It worked — but it wasn’t ideal.
With 2025.09 LTS, something finally clicked for me.
Wait… we can share Model Studio projects now?
And it’s actually straightforward.
The retirement of SAS Drive represented more than the removal of a separate application. It marked a shift toward a more unified, integrated content system within SAS Viya.
Instead of relying on a distinct “Drive” layer, content is now managed directly within the platform’s folder and permission structure. SAS Model Studio projects are treated as shareable content objects that can:
This means that project collaboration is no longer dependent on indirect workflows. It is built into the environment.
The retirement of SAS Drive did not reduce collaboration — it simplified it.
If you teach analytics or run student competitions, you’ve likely seen this scenario:
One student builds the pipeline.
The rest of the team cannot access it directly.
Final submissions become a coordination exercise instead of a modeling discussion.
The ability to share a Model Studio project changes that dynamic.
Teams can now:
This reduces technical friction and shifts focus back to what matters:
In short, collaboration becomes intentional rather than improvised.
There is also a deeper instructional benefit.
Collaboration in SAS Viya is permission-based, not file-copy-based.
Students are not emailing attachments or duplicating projects. They are learning how shared analytics environments operate:
That mirrors modern enterprise data science workflows. From a pedagogical standpoint, that alignment is significant.
Sharing a Model Studio project does not automatically resolve all data considerations. Collaborators must still have appropriate permissions to the underlying CAS tables or libraries used within the project.
However, this distinction is valuable in teaching. It reinforces that analytic logic and data governance are separate layers of a system. Students gain exposure to both.
I will admit it took me nearly a year after SAS Drive’s retirement to fully recognize this benefit.
Sometimes platform improvements are not flashy new algorithms or dramatic UI redesigns. Sometimes they are architectural refinements that remove friction in subtle but meaningful ways.
The ability to save a Model Studio project in a shared folder and grant direct access to collaborators is one of those refinements. For academic use — especially in team-based learning environments — it is substantial.
With a focus on enabling teammates to open and work within the same project, I’ll walk through concrete examples below on how to:
If you are teaching with SAS Viya for Learners 2025.09 LTS, running hackathons, or supporting collaborative analytics coursework, I encourage you to explore this workflow.
You may find that one of the quietest platform changes turns out to be one of the most impactful for your students.
Perhaps your eye also caught this subtle addition to the New Project window in SAS Model Studio:
My Folder remains the default location when creating a project. Without additional administrative setup, this is likely where many projects will continue to live.
However, this can change.
With support from your VFL administrators, shared folders can be created to enable collaborative work across users. For now, simply note that the project location is no longer fixed — it is configurable.
Consider this one of those “Art of the Possible” moments.
Now let’s move to the key step: sharing the project itself.
Follow these steps to add a teammate as a collaborator:
At this point, teammates can open and work within the same SAS Model Studio project — leveraging the same data, pipelines, and metadata definitions.
To avoid overwriting each other’s work, it may be helpful for each teammate to build and experiment within their own pipeline.
But I’ll leave that decision to you. 😉
Bottom line:
What used to require workarounds is now built directly into the platform — and it’s a big win for both teaching and teamwork.
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