Generalize to Optimize: Enhancing Data Pipelines for Future Growth
Introduction When designing a data pipeline—or any project, for that matter—it’s best to build it as generalized or abstracted as possible. While an exception might be made if it’s intended only for a single, specific data source or target, things rarely remain static in the long run. A well-built pipeline will likely be used by […]