O’Reilly Publishes In-Depth Book on Logical Data Management
Examines both the technological underpinnings and the tangible business benefits PALO ALTO, Calif., Oct. 14, 2025 (GLOBE NEWSWIRE) — Denodo, a leader in data management, announced that O’Reilly has published The Rise of Logical Data Management: An Essential Data Strategy for Transforming Your Business in the Age of AI. This logical data management strategy is central to the Denodo Platform, and it is one that has long been championed by industry analysts such as Gartner1 and GigaOm2. Written by Christopher Gardner, a business intelligence analyst and lead Tableau developer for the University of Michigan, the book covers logical data management from an independent, curious perspective, digging into how logical data management works, in today’s complex data landscape comprised of powerful data lakehouses, complex new AI use cases, and the continuing need for solutions that can deliver true, self-service data access in this challenging environment. “Logical data management,” Gardner explains, “is a data management approach based on logical or virtual connections to data. This approach is applied to an organization’s existing data structure to provide more uniform control over security, create a central data marketplace, and unify disparate underlying systems into a common format.” Why is Logical Data Management Needed Today? Logical data management is increasingly needed today to rapidly deliver on the complex, demanding requirements of AI and data self-service. AI requires “AI-ready” data, which is data that is governed, trusted, secure, and delivered in real time. Organizations employing only physical data management with data lakehouses, data lakes, and data warehouses are finding that on their own, these data repositories cannot deliver these requirements, and increasingly, they are adding logical data management capabilities. Similarly, self-service data access requires data to be immediately translated into actionable language, but the physical data management technologies lack the semantic capabilities that make it possible.