Book Details

Knowledge Management in the Development of Data-Intensive Systems (1st Edition) is a comprehensive and forward-looking resource that addresses one of the most critical challenges in modern software engineering: effectively managing knowledge in data-intensive system development. Written by leading experts in software architecture and systems engineering, this eBook provides a structured framework for capturing, sharing, and applying knowledge throughout the lifecycle of complex data-driven systems.

The authors explore methodologies, tools, and best practices for integrating knowledge management with data analytics, artificial intelligence, and large-scale software development. Topics include architectural decision-making, organizational learning, collaboration across teams, and the role of knowledge in improving system quality, scalability, and maintainability.

Highly recommended for software architects, system engineers, researchers, project managers, and graduate students, Knowledge Management in the Development of Data-Intensive Systems offers practical insights and strategic guidance for building robust, efficient, and sustainable data-centric systems in today’s knowledge-driven economy.