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Unable to see lakeflow designer option in my free edition databricks account

ashutoshacharya
New Contributor II

I am unable to see the lakeflow designer option in my databricks account. Even the previews option is not there ... Please let me know how can access that 

1 ACCEPTED SOLUTION

Accepted Solutions

Ashwin_DSA
Databricks Employee
Databricks Employee

Hi @ashutoshacharya,

Right now, Lakeflow Designer is in Public Preview, and it isn’t fully rolled out to Databricks Free Edition yet, which is why you don’t see it in the UI or under Previews. On full (paid or trial) workspaces, a workspace admin can turn it on from the Admin Settings → Previews page, and then you’ll see a 'Visual data prep' option under the New menu. If you’d like to try Designer immediately, the best option today is to spin up a trial workspace and enable it there. Otherwise, you can keep using the Free Edition, and it will appear automatically once the rollout to Free Edition workspaces completes.

If this answer resolves your question, could you mark it as “Accept as Solution”? That helps other users quickly find the correct fix.

Regards,
Ashwin | Delivery Solution Architect @ Databricks
Helping you build and scale the Data Intelligence Platform.
***Opinions are my own***

View solution in original post

1 REPLY 1

Ashwin_DSA
Databricks Employee
Databricks Employee

Hi @ashutoshacharya,

Right now, Lakeflow Designer is in Public Preview, and it isn’t fully rolled out to Databricks Free Edition yet, which is why you don’t see it in the UI or under Previews. On full (paid or trial) workspaces, a workspace admin can turn it on from the Admin Settings → Previews page, and then you’ll see a 'Visual data prep' option under the New menu. If you’d like to try Designer immediately, the best option today is to spin up a trial workspace and enable it there. Otherwise, you can keep using the Free Edition, and it will appear automatically once the rollout to Free Edition workspaces completes.

If this answer resolves your question, could you mark it as “Accept as Solution”? That helps other users quickly find the correct fix.

Regards,
Ashwin | Delivery Solution Architect @ Databricks
Helping you build and scale the Data Intelligence Platform.
***Opinions are my own***