Testing: Our assertions vs. reality

Testing data models is sometimes like trying to form a bust from clay made of cornstarch and water. Right when you think you've got it into the right shape and set it on a shelf, it completely melts into a puddle of mush. Our practice of testing transformations on top of shifting, changing data falls apart in the same way over and over again, yet we don't learn our lesson. Come learn from Mariah Rogers (Palmetto) why we're doing model testing wrong, how we can change our ways to do it better, and what problems will be essential for the dbt Community to solve together to bridge the gap.