A retail analytics team ingests clickstream events into a Fabric Eventstream. Each customer's browsing session should be grouped together, but sessions have no fixed duration — a session ends only after a customer is inactive for 15 minutes, after which a new session begins on the next event. The team needs a windowing approach that dynamically groups events per customer based on gaps of inactivity. Which windowing function should they use?