Author: Fabian Pascal
Edition: 1
Binding: Paperback
ISBN: 0201485559
Publisher: Addison-Wesley Professional
Features:
Edition: 1
Binding: Paperback
ISBN: 0201485559
Publisher: Addison-Wesley Professional
Features:
Practical Issues in Database Management: A Reference for the Thinking Practitioner
Databasics clearly explains the key concepts users and database professionals need to understand in order to build well-designed databases that answer business questions accurately and efficiently. Search and download computer ebooks Practical Issues in Database Management: A Reference for the Thinking Practitioner for free.
Practical Issues in Database Management A Refernce for the Thinking Practitioner, ISBN-13: 9780201485554, ISBN-10: 0201485559. Download Practical Issues in Database Management computer ebooks
Fabian Pascal, one of the industry's leading experts, identifies ten critical, recurring issues that both database users and vendors often fail to address appropriately. Pascal demonstrates why understanding these fundamentals is so important, providing detailed examples and solutions designed to help users escape the key pitfalls of database development. Among the topics covered: unstructured data and complex data types; business rules and enforcing data integrity; keys; duplicates; normalization; entity subtypes and supertypes; data hierarchies
Practical Issues in Database Management: A Reference for the Thinking Practitioner
Practical Issues in Database Management: A Reference for the Thinking Practitioner: Fabian Pascal
Categories: Database management. Contributors: Fabian Pascal - Author. Format: Paperback
Categories: Database management. Contributors: Fabian Pascal - Author. Format: Paperback
Categories: Database management. Contributors: Fabian Pascal - Author. Format: Paperback
Practical Issues in Database Management Free
Fabian Pascal, one of the industry's leading experts, identifies ten critical, recurring issues that both database users and vendors often fail to address appropriately
Among the topics covered: unstructured data and complex data types; business rules and enforcing data integrity; keys; duplicates; normalization; entity subtypes and supertypes; data hierarchies