Agentic AI is rewriting the rules of enterprise data engineering, turning passive infrastructure into intelligent systems that act, adapt and automate at scale.Gone are the days when platforms simply stored and queried data. Today’s data stacks are being rearchitected to support agentic workflows — systems where metadata, governance and orchestration layers work in concert to guide machine reasoning. Snowflake Inc.’s embrace of open formats such as Apache Iceberg signals a broader shift: Enterprises are building environments where intelligence is embedded into the fabric of data itself

A central theme at Snowflake Summit in San Francisco this week was the company’s growing focus on data engineering — and whether it signals a shift from traditional analytics to a dynamic, four-dimensional system of intelligence that can sense, predict and optimize business performance in real time.TheCUBE analysts George Gilbert and Dave Vellante talk about data engineering during Snowflake Summit.A 4-D business map can integrate sensing data from people, places, things and activities into real-time information, creating fusion with other platforms and an ability to make future predictions