BigDATAWire has published an article by Alexey Smirnov, Solution Data Architect at DataArt, about why the “One Big Table” approach falls short in AI-driven environments, and how semantic layers can bring structure, meaning, and reusability back to modern data ecosystems.
"There's a misconception that AI simply wants 'more data.' In reality, AI thrives on contextualized, well-structured data. LLMs can technically parse flat tables, but without guidance, they misinterpret metrics or infer invalid logic."
"This shift from dashboards to well-defined, reusable data artifacts is a cornerstone of modern data strategy. It transforms data work from isolated projects into a productized, scalable discipline."
"This isn't merely a battle between 'One Big Tables' and semantic layers. The deeper message is this: semantic layers represent the right approach to data modeling and consumption in modern ecosystems."
Read the full article here.
