This whitepaper explores how Denodo enables an enterprise data fabric: a metadata-driven platform that federates data without requiring replication, enabling seamless integration in hybrid and multi-cloud ecosystems. We also discuss how data fabric is an ideal architectural framework for enterprise AI.

Drawing on the latest advancements in the Denodo Platform, we delve into the technical architecture through its four foundational pillars: semantic unification, personalized self-service, federated governance, and real-time data delivery with cost control. These pillars incorporate core components such as a data marketplace, active metadata, AI-based recommendations, a semantic layer, orchestration via data operations (DataOps), and multi-cloud provisioning. Also, through support for frameworks like retrieval-augmented generation (RAG) and tools like the Denodo AI SDK, the Denodo Platform enables semantically rich, governed data for large language models (LLMs) and AI applications. Real-world customer implementations illustrate these capabilities, while ROI analysis from recent studies highlights up to 345% ROI over three years, driven by reduced integration times and optimized cloud costs. Ultimately, a Denodo-enabled enterprise data fabric transforms data fragmentation into an intelligent, AI-ready foundation, accelerating enterprise innovation.