The book covers a wide range of topics to provide comprehensive content on database systems. One area explored is the design of a secured database system using blockchain technology a revolutionary concept that ensures data integrity and security. Additionally advanced access control to information systems is discussed highlighting the requirements compliance aspects and future directives in this critical domain. The book also explores into case-based data modeling optimization which offers a teaching exploration to enhance the efficiency and effectiveness of database systems.The book also introduces a new approach for database fragmentation and allocation aiming to improve the performance of distributed database management systems. It tackles the treatment of bad big data in research data management systems emphasizing the importance of effectively managing and cleaning large datasets. Data wrangling in database systems is another topic of discussion focusing on the process of purging dirty data to ensure data accuracy and reliability.The book includes an exploration of adaptive multi-grained buffer management a technique designed to optimize database system performance. It also addresses web and database security shedding light on the measures required to protect against potential threats and vulnerabilities. It is a valuable resource for undergraduate and graduate students studying computer science information systems or related disciplines. Researchers and practitioners seeking to expand their knowledge and stay updated with the latest advancements in database systems will also find this book beneficial.
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