DENODO-BACKED BOOK CHAMPIONS LOGICAL DATA MANAGEMENT IN THE AGE OF AI

KUALA LUMPUR, Oct 15 (Bernama) -- Denodo, a leader in data management, has announced the release of The Rise of Logical Data Management: An Essential Data Strategy for Transforming Your Business in the Age of AI, published by O’Reilly.

This logical data management strategy lies at the core of the Denodo Platform and has long been endorsed by industry analysts such as Gartner and GigaOm, according to a statement.

Authored by Christopher Gardner, a business intelligence analyst at the University of Michigan, the book explores how logical data management is reshaping enterprise data strategies amid growing demands from artificial intelligence (AI) and increasing data complexity.

“Denodo has long championed the ‘logical-first’ approach to managing data. This book validates our approach and explains how it works for data leaders as well as technically savvy business stakeholders,” said Denodo executive vice president and chief technical officer, Alberto Pan.

Written for C-level technology and data leaders, the book also outlines the significant business benefits of logical data management, including improved customer experience and streamlined operations.

In addition, it delves into such areas as how logical data management can improve performance and scalability in demanding settings, using highly detailed examples.

Logical data management is becoming increasingly essential to meet the complex and evolving demands of AI and self-service data access. AI requires “AI-ready” data, which is data that is governed, trusted, secure, and delivered in real time.

Organisations relying solely on physical data management with data lakehouses, data lakes, and data warehouses are finding that on their own, these data repositories cannot deliver these requirements.  As a result, many are now integrating logical data management capabilities into their strategies.

Similarly, enabling true self-service data access requires data to be instantly translated into actionable insights. However, traditional physical data management systems often lack the semantic layer needed to support this capability—something logical data management is uniquely positioned to provide.

-- BERNAMA