Respond to Airport Disruptions Using Lakehouse//RT

Description

Watch how Lakehouse//RT and Zerobus help airline operations teams act on live event data while seats are still open and connections can still be made. When lightning closes a ramp, delays ripple across flights, bags, and connections. This demo simulates a ramp closure at fictional carrier Lakehouse Air, where a network control app flags affected flights, at-risk connections, rebooking options, and hotel needs. Zerobus streams flight, baggage, and boarding events directly into Unity Catalog tables, with no messaging bus. Lakehouse//RT runs live joins on those tables for dashboards and historical analysis, handling 1,000 concurrent users (about 200 queries per second) plus an 8,000-query burst. Lakehouse//RT is in Beta; ask your account team to enable it. 🎯 What you’ll learn Deliver sub-second queries at high concurrency for live operational applications Stream real-time telemetry events directly into Unity Catalog tables using Zerobus Execute sub-second, multi-table joins on live event data during an operational hold Track at-risk bags, ripple effects, and rebooking needs Support concurrent users and query bursts across operations Serve live and historical analytics from one copy…

Description from YouTube. Full content on the video page.