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Practical Issues in Database Management

A Refernce for the Thinking Practitioner

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This book clearly explains essential concepts for users and database professionals to create well-designed databases that effectively address business questions. Fabian Pascal, a leading expert in the field, identifies ten critical issues that both users and vendors often overlook. He emphasizes the importance of grasping these fundamentals, providing detailed examples and solutions to help users avoid common pitfalls in database development. Key topics include unstructured data, complex data types, business rules, data integrity, keys, duplicates, normalization, entity subtypes and supertypes, data hierarchies, recursive queries, redundancy, quota queries, and managing missing information. Pascal also critically assesses how current SQL implementations and commercial products tackle these issues. This comprehensive guide aims to ensure that databases are built correctly the first time, preventing the need for costly rebuilds later. It serves as an invaluable resource for DBAs, developers, managers, and end-users seeking to understand the best practices in designing and implementing database systems.

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Practical Issues in Database Management, Fabian Pascal, C. J. Date

Langue
Année de publication
2000
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Titre
Practical Issues in Database Management
Sous-titre
A Refernce for the Thinking Practitioner
Langue
Anglais
Publié
2000
Format
souple
Pages
256
ISBN10
0201485559
ISBN13
9780201485554
Séries
Évaluation
4 sur 5
Description
This book clearly explains essential concepts for users and database professionals to create well-designed databases that effectively address business questions. Fabian Pascal, a leading expert in the field, identifies ten critical issues that both users and vendors often overlook. He emphasizes the importance of grasping these fundamentals, providing detailed examples and solutions to help users avoid common pitfalls in database development. Key topics include unstructured data, complex data types, business rules, data integrity, keys, duplicates, normalization, entity subtypes and supertypes, data hierarchies, recursive queries, redundancy, quota queries, and managing missing information. Pascal also critically assesses how current SQL implementations and commercial products tackle these issues. This comprehensive guide aims to ensure that databases are built correctly the first time, preventing the need for costly rebuilds later. It serves as an invaluable resource for DBAs, developers, managers, and end-users seeking to understand the best practices in designing and implementing database systems.