Traditional data pipelines often tie ingestion and transformation together, forcing data into rows and columns early in the process. But modern workloads - from large XML documents to high-resolution video files - have transformations that are far from trivial and require very different compute resources than ingestion. Separating these concerns becomes essential. When a transform fails, you shouldn’t have to re-download data or hit the source system again.