Data pipelines are more than copying data

Data pipelines involve far more than simply moving data from one place to another. Organizations typically fall into two camps: using managed cloud platforms or building internal data platforms. Key challenges include schema normalization, incremental loading, handling schema changes reliably, and maintaining confidence in dashboard accuracy. The goal of a well-designed pipeline SDK is to abstract these edge cases so teams can focus on data modeling and answering business questions rather than infrastructure concerns.