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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.

Nákup knihy

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

Jazyk
Rok vydania
2000
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Titul
Practical Issues in Database Management
Podtitul
A Refernce for the Thinking Practitioner
Jazyk
anglicky
Rok vydania
2000
Väzba
mäkká
Počet strán
256
ISBN10
0201485559
ISBN13
9780201485554
Série
Hodnotenie
4 z 5
Anotácia
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.