Deployment Pipeline Missing Features - Ep.330 - Power BI tips

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What's the purpose of deployment pipelines and GIT integration when Dataflows, (direct lake) semantic models and reports are not supported? I'm struggling to get my head around it and to convince management that Fabric should be the data platform of choice.
I'm reverting back to good old golden datasets to have some profit of a dev-test-prod pipeline.
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[@girin77]

Quick Question - I have a PowerBI dev space and prod space with a deployment pipeline. However, I have a few bookmarks that are in dev space, that don't show up in the prod side even after deployment. There's no difference showing up when I compare the semantic model and the report between the dev and prod workspaces. Any insight into this quirk? Do bookmarks not get migrated/deployed through the deployment pipeline from the dev to the prod workspace?