Does Creating a View table in Warehouse impact Performance when used in Semantic model

Creating a view in the Warehouse generally doesn’t have a big performance impact by itself, since views are just saved SQL queries and don’t store data. But the real performance hit can come when those views are used in semantic models, especially if:

• The view includes complex joins or filters
• You're using Direct Lake mode, but the view forces a fallback to DirectQuery
• You're referencing the view multiple times in visuals or measures

If your view is just a simple SELECT * or has light filtering, the impact might be minimal. But once you start layering logic or chaining views, things can slow down—especially at scale.

One workaround folks use is creating composite models or duplicating logic in Power BI instead of relying too much on views. But I get that sometimes views are just more convenient or necessary.

Hope this helps a bit!

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