The third edition of Database Principles maintains its engaging writing style and brevity; its unique balance between theory and practice; and its wealth of examples throughout the text. It provides a solid and practical foundation for the design, implementation and management of database systems. The new edition has been updated with all the latest developments and technologies and incorporates a generous number of localised and motivating business vignettes that tie the concepts to real-life situations. The coverage of SQL provides numerous examples and simpler explanations that focus on…mehr
The third edition of Database Principles maintains its engaging writing style and brevity; its unique balance between theory and practice; and its wealth of examples throughout the text. It provides a solid and practical foundation for the design, implementation and management of database systems. The new edition has been updated with all the latest developments and technologies and incorporates a generous number of localised and motivating business vignettes that tie the concepts to real-life situations. The coverage of SQL provides numerous examples and simpler explanations that focus on areas most important for a database career. This edition is suitable for a first course in databases at undergraduate level and will also provide essential material for conversion postgraduate courses. Providing comprehensive and practical coverage of core database concepts, it is an ideal text not only for those studying database management systems in the context of computer science, but also those on courses in the areas of information systems and business information technology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Carlos Coronel is currently the Lab Director for the College of Business Computer Labs at Middle Tennessee State University. He has more than 29 years of experience in various fields as a Database Administrator, Network Administrator, Web Manager, and Technology Specialist. He has taught courses in Web development, database design and development, and data communications at the undergraduate and graduate levels.Dr Keeley Crockett is a Reader in Computational Intelligence in the School of Computing, Mathematics and Digital Technology at Manchester Metropolitan University. She gained a BSc Degree (Hons) in Computation from UMIST in 1993, and a PhD in the field of machine learning in 1998 entitled Fuzzy Rule Induction from Data Domains". She has been teaching within the field of database systems and data engineering for 14 years to both undergraduate and postgraduate students. She is a member of the Intelligent Systems Group which has established a strong international presence in its research into Conversational Agents and Adaptive Psychological Profiling including an international patent on "Silent Talker". She has published over 50 refereed conference papers and journal articles in major international conferences and journals. She is the current Chair of the IEEE Women into Computational Intelligence (2012) and a senior member of the IEEE Computational Intelligence Society"
Inhaltsangabe
Part I: Database SystemsChapter 1: The Database ApproachChapter 2: Data ModelsChapter 3: Relational Model CharacteristicsChapter 4: Relational Algebra and CalculusPart II: Database AlternativesChapter 5: Data Modelling with Entity Relationship DiagramsChapter 6: Data Modelling Advanced ConceptsChapter 7: Normalising Database DesignsPart III: Database ProgrammingChapter 8: Beginning Structured Query LanguageChapter 9: Procedural Language SQL and Advanced SQLPart IV: Database DesignChapter 10: Database Development ProcessChapter 11: Conceptual, Logical and Physical Database DesignPart V: Implementation AlternativesChapter 12: Managing Transactions and ConcurrencyChapter 13: Managing Database and SQL PerformancePart VI: Database ManagementChapter 14: Distributed DatabasesChapter 15: Databases for Business IntelligenceChapter 16: Big Data and NoSQLChapter 17: Database Connectivity and Web Technologies
Part I: Database SystemsChapter 1: The Database ApproachChapter 2: Data ModelsChapter 3: Relational Model CharacteristicsChapter 4: Relational Algebra and CalculusPart II: Database AlternativesChapter 5: Data Modelling with Entity Relationship DiagramsChapter 6: Data Modelling Advanced ConceptsChapter 7: Normalising Database DesignsPart III: Database ProgrammingChapter 8: Beginning Structured Query LanguageChapter 9: Procedural Language SQL and Advanced SQLPart IV: Database DesignChapter 10: Database Development ProcessChapter 11: Conceptual, Logical and Physical Database DesignPart V: Implementation AlternativesChapter 12: Managing Transactions and ConcurrencyChapter 13: Managing Database and SQL PerformancePart VI: Database ManagementChapter 14: Distributed DatabasesChapter 15: Databases for Business IntelligenceChapter 16: Big Data and NoSQLChapter 17: Database Connectivity and Web Technologies
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