It's 2 AM when the alert hits: "Machine 47 running 15° above spec." The factory manager asks the obvious question: "Which other machines from this vendor are showing temperature anomalies?" The data team's response? "We have five years of sensor data! But it'll take two weeks to build a pipeline to query it." So instead of a query that should take seconds, they dispatch a technician. Cost: $50,000 for the truck roll, specialist time, and production downtime to inspect machines that might be fine. This is the dirty secret of modern data infrastructure: You're sitting on petabytes of sensor data, but when you need it most, it's faster to put someone in a truck than to query your data lake. You've built a write-only memory—data goes in, but it never comes out. The Most Expensive Query is the One You Can't Run Let's talk real numbers. A truck roll costs $500-$2,000 for basic issues. Add a specialist, emergency overtime, and production downtime? You're looking at $50,000+.…