We've all had that weird table in a data warehouse that grew with the company, and is an architectural mess. Every time you query it, you need to join tables five levels deep, and then filter using ILIKE to filter out legacy rows from some pre-migration era, which weren't cleaned up because the budget wasn't approved and the person resposible retired.
Happens! (If it didn't happen to you yet, don't worry, eventually it will)
Now, you can save all of this logic in your Wobby Semantic Layer and create models based on a SQL query, not just a physical table, so that your AI analysts can navigate clean data and not get confused. If you're familiar with relational databases, imagine it like a SQL view.
Learn more in our docs →.