Agentic AI in Data Engineering: The Ultimate Guide for Enterprises
Data engineering is becoming more complex, expensive, and time-sensitive. Enterprises are managing larger datasets, faster pipelines, stricter compliance needs, and rising cloud costs. Traditional automation is no longer enough.







