Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Solved! Go to Solution.
@Anonymous You don't have to try to make an apples to apples compare and build out the same infrastructure. You could purchase multiple P1 licenses, especially if they are only running at 40%. A good starting point might be to recommend 2 P1 licenses and manage the capacity separately. The largest dependency in my mind would be how large the models are, if they are extremely large and you aren't going to stand up an Analysis Services instance (might also recommend this route) then a couple P1's should fit the bill. They can always scale up to another one or increase the size to a P2 on these if needed. I would take the approach of starting smaller and scaling rather than over purchasing because you have to.
@Anonymous You don't have to try to make an apples to apples compare and build out the same infrastructure. You could purchase multiple P1 licenses, especially if they are only running at 40%. A good starting point might be to recommend 2 P1 licenses and manage the capacity separately. The largest dependency in my mind would be how large the models are, if they are extremely large and you aren't going to stand up an Analysis Services instance (might also recommend this route) then a couple P1's should fit the bill. They can always scale up to another one or increase the size to a P2 on these if needed. I would take the approach of starting smaller and scaling rather than over purchasing because you have to.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.