Data Quality – garbage in, garbage out. We all know that, but it’s hard to know what to do about it. Documenting everything is well-intentioned, but it’s often too detailed or too tedious to be effective. So what’s the solution? Code. Using code to spell out the expectations between data producers and data teams can…