This book presents a detailed and structured exploration of Relational Database Management Systems, covering foundational theories and practical implementation strategies. It explains data modeling, entity-relationship diagrams, relational algebra, normalization techniques, and schema refinement methods in a clear and systematic manner. The text discusses Structured Query Language (SQL) from basic queries to advanced procedures, triggers, and indexing techniques. It further examines transaction management, concurrency ...
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This book presents a detailed and structured exploration of Relational Database Management Systems, covering foundational theories and practical implementation strategies. It explains data modeling, entity-relationship diagrams, relational algebra, normalization techniques, and schema refinement methods in a clear and systematic manner. The text discusses Structured Query Language (SQL) from basic queries to advanced procedures, triggers, and indexing techniques. It further examines transaction management, concurrency control, recovery mechanisms, and database security frameworks. Modern topics such as distributed databases, cloud-based RDBMS, performance tuning, scalability, and integration with big data platforms are also addressed. Designed for undergraduate, postgraduate, and research scholars, this book serves as both an academic guide and a professional reference.
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Add this copy of Data Modeling, Integrity Constraints, and Security to cart. $51.94, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2026 by LAP Lambert Academic Publishing.