The Shift from Pipelines to Context: Data Engineering in the Enterprise AI Era
The rules have changed. In the era of GenAI, the Data Engineer's role shifts from moving rows and columns to architecting 'Context Pipelines.' Here is why 80% of current data lakes are unprepared for AI, and how to fix it.