Description
Data Management: Interactions With Computer Architecture and Systems is a definitive guide that bridges the gap between data management principles and modern computer architecture. Written by leading experts Xiaodong Zhang and Rubao Lee, this work examines how data management strategies must be carefully aligned with underlying hardware and system architectures to achieve optimal performance.
The book covers essential topics including memory hierarchies, cache optimization, storage systems, and their interconnections with database management and data processing frameworks. It provides both theoretical foundations and practical insights into designing efficient data management systems that leverage modern processor capabilities, parallel computing architectures, and emerging hardware technologies.
Perfect for computer scientists, systems engineers, and database professionals, this Cambridge University Press publication offers invaluable perspectives on maximizing performance and efficiency in contemporary computing environments.
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