How Denodo Enables an Enterprise Data Fabric for the Age of AI

This whitepaper explains how an enterprise data fabric addresses the growing complexity of modern data ecosystems driven by AI, cloud, and regulatory demands. Drawing on Gartner’s definition, it positions data fabric as a composable architectural framework rather than a standalone product. The paper highlights how Denodo enables this framework through a metadata-driven, logical layer that federates data across hybrid and multi-cloud environments without replication, delivering trusted, real-time, and AI-ready data.

• Denodo complements lakehouse platforms by adding semantic unification, real-time federation, and enterprise-wide governance without disrupting existing investments.
• The platform is built on four pillars: semantic unification, personalized self-service, federated governance, and real-time data delivery with cost control.
• Active metadata, AI-driven recommendations, and support for AI frameworks like RAG enable consistent, governed data for analytics and enterprise AI use cases.

Ultimately, a Denodo-enabled enterprise data fabric transforms fragmented data landscapes into an intelligent, unified foundation. By reducing integration complexity, optimizing cloud costs, and accelerating AI initiatives, it helps organizations achieve faster insights, regulatory compliance, and scalable innovation while maximizing ROI.