What If Table Relationships No Longer Had to Be Mapped by Hand?

The Hidden Bottleneck in Modern Data Systems In most organizations, data is everywhere. Different systems. Different schemas. Different naming conventions. But there’s one thing they all have in common: No one truly knows how the data connects. We assume relationships exist. We assume someone has defined them. We assume foreign keys, documentation, or semantic layers will guide us. But in reality: · Foreign keys are missing · Field names are inconsistent · Documentation is outdated · And relationships live mostly in people’s heads So what happens? Engineers manually trace tables. Analysts guess JOIN conditions. Teams rebuild the same understanding over and over again. And this is not a one-time problem. Data relationship analysis is not a task. It is infrastructure. Why This Problem Is Harder Than It Looks At first glance, finding relationships between tables sounds simple. Match column names. Check metadata. Look for keys. But this approach breaks immediately in real systems. Example: