I’ve been trying to build a reliable data pipeline that can handle late-arriving facts, but I keep running into issues where my fact tables don’t match the expected dimensions because the dimension updates arrived out of sequence. I’m not sure if my approach to handling these slowly changing dimensions is wrong, or if I need a completely different architecture for this temporal consistency problem.
