How much of your day is spent combing through overly complex code, deciphering debug logs, and trial-and-error parameter tuning, all just to keep your pipelines running? Pipelines are critical, but they require far too much code, brittle configurations, and a disproportionate amount of time spent on maintenance. What’s worse is it only gets more challenging the more pipelines you build.
At a time when your data teams, their needs, and your data itself are all rapidly expanding, you need a data platform that is as dynamic as you. It’s time to ditch traditional pipeline development and start embracing Dataflows.
