The integration of Generative AI in Data Engineering pipelines is redefining how we process, clean, and transform data. The RAG (Retrieval-Augmented Generation) approach, combined with tools like Power BI and Looker, now allows for the creation of dynamic semantic layers.
This article explores the challenges, reference architectures, and expected productivity gains.