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Titel: Practical Issues in Database Management: A Reference for the Thinking Practitioner
Autor/en: Fabian Pascal
Autor/en: Fabian Pascal
ADDISON WESLEY PUB CO INC
Juni 2000 - kartoniert - 288 Seiten
This book addresses the core, commonly recurring issues and problems that even the most experienced database professionals-seem to systematically misunderstand, including: unstructured data and complex datatypes, business rules and integrity enforcement, data hierarchies and recursive queries, redundancy. Fabian Pascal examines these critical topics thoroughly, comparing the severe costs of mishandling them to the practical benefits of implementing the correct solutions. With an emphasis on both principles and practice, this book employs numerous examples to provide an assessment of current technology-SQL and the DBMS products based on it-and, whenever possible, offers concrete recommendations and workarounds.
Foreword. Preface. 1. Careful What You Wish For: Data Types and Complexity. The Issue. Fundamentals. "Simple" Types. System-Defined Types. User-Defined Types. Data Type Support. On Type "Atomicity." "Complex" Types. Practical Implications. Relational Domains versus Object Classes. Database Design. Relational Structure versus Object Manipulation. DBMS Implementation. "Domains." "Universal" DBMSs. Conclusion and Recommendations. Appendix 1A: Possible Representations for Image Types. Appendix 1B: Graphics File Follies. Appendix 1C: Biometric Tools Ready to Take Off. Appendix 1D: Search Engine Failures. Appendix 1E: "Complex" Types and Operators: An Internet Illustration. Appendix 1F: Java and Database Synergy. 2. The Rule of Rules: Integrity. The Issue. Fundamentals. Business Rules. Integrity Constraints. Domain Constraints. Column Constraints. Table Constraints. Database Constraints. Database Correctness. Base versus Derived Constraints. Integrity Enforcement. Integrity Rules. DBMS Support. Practical Implications. SQL and Integrity. Domain Rules. Column Rules. Table and Database Rules. Procedural Support. Conclusion and Recommendations. Appendix 2A: A Note on SQL's OVERLAPS Operator. 3. A Matter of Identity: Keys. The Issue. Fundamentals. Simple versus Composite Keys. Natural versus Surrogate Keys. Candidate versus Primary Keys. Foreign Keys. Referential Integrity and Primary Keys. DBMS Support. Practical Implications. SQL and Keys. Conclusion and Recommendations. 4. Don't Get Duped by Dupes: Duplicate Rows. The Issue. Fundamentals. Determining Entity Types. "Hidden" Information. A Relational Bonus. Practical Implications. SQL and Duplicates. Duplicate Removal. Countability. Addressability. Correctness and Interpretability of Results. Essential Order and Performance Optimization. Conclusion and Recommendations. Appendix 4A: Duplicate Removal in SQL. Appendix 4B: Language Redundancy and Duplicates. 5. The Key, the Whole Key, and Nothing but the Key: Normalization. The Issue. Fundamentals. Repeating Groups. First Normal Form. Column Dependencies. Functional Dependencies. Second Normal Form. Third Normal Form. Multivalued Dependencies. Fourth Normal Form. Join Dependencies. Fifth Normal Form. Practical Implications. SQL and Multivalued Columns. "Denormalization" and Performance. Conclusion and Recommendations. 6. Neither Distinct nor the Same: Entity Supertypes and Subtypes. The Issue. Fundamentals. Entity Types, Attributes, and Relationships. A Special Case. DBMS Support. Practical Implications. Multikey References. SQL Subtables and Supertables. Conclusion and Recommendations. 7. Climbing Trees in SQL: Data Hierarchies. The Issue. Fundamentals. Nodes and Links. "Explode" Queries. Recurring Nodes. Practical Implications. SQL and Trees. Conclusion and Recommendations. 8. Not Worth Repeating: Redundancy. The Issue. Fundamentals. Duplicate Rows. Within-Table Duplicates. Cross-Table Duplicates. Entity Subtypes and Supertypes. Column Dependencies. Functional Dependencies. Dependency on Part of the Key. Indirect Dependency. Multivalued Dependencies. Join Dependencies. Derived Information. Redundancy Control. Denormalized Designs. Derived Information. Practical Implications. SQL and Keyless Tables. SQL and Cross-Table Duplicates. SQL and "Denormalization." SQL and Derived Information. Conclusion and Recommendations. 9. Will SQL Come to Order: Quota Queries. The Issue. Fundamentals. Ambiguities. The Declarative Solution. Practical Implications. SQL and Quota Queries. Conclusion and Recommendations. 10. What You Don't Know Can Hurt You: Missing Information. The Issue. Fundamentals. Meaningless Assertions. Empty Assertions. Missing Information as Metadata. DBMS Support. Many-Valued Logic. Practical Implications. SQL NULLs. NULLs and 4VL. NULLs and 3VL. 2VL and Metadata. Conclusion and Recommendations. Index. 0201485559T04062001
Fabian Pascal is an independent industry analyst, consultant, author, and lecturer specializing in database management. He is the author of two previous books, Understanding Relational Databases and SQL and Relational Basics, and has contributed extensively to many industry publications. 0201485559AB04062001
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