As Ghodsi noted, building a data pipeline and analytics on top of it is usually an iterative service, so the faster you can go from experiment to results to the next experiment, the better.

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.