Table of Contents
Introduction
1. “Inapplicable Data”: Nothing's Missing
2. Missing Data: Into the Unknown
3. SQL NULL: What-Valued Logic?
4. Known Unknowns: Metadata
5. A Relational Solution
5.1. The Practicality of Theory
5.2. A Real World Example
5.3. Relation Proliferation
6. Questions/Comments/Objections
Conclusion
Table of Contents
Introduction
1. Logical Symmetric Access
2. Universal Data Sublanguage
2.1. FOPL vs. SOL
2.2. Relational Completeness
2.3. Computational Completeness and Hosting
3. Kinds of Relations
3.1. Expressible and Named Relations
3.2. Derived Relations
3.3. Data Storage
4. Derived Relations and Redundancy
4.1. Database Consistency
5. Database Catalog
Conclusion
Table of Contents
Series Preface
Introduction
1. Interpretation of Database Relations
1.1. Attributes as Constrained Domains
1.2. Time-Varying Relations
2. Representation of Database Relations
2.1. Physical Data Independence
2.1.1. Uniquely Named Attributes
2.1.2. Primary Keys
2.1.3. Relations and R-tables
3. Normalization
3.1. First Normal Form and “Simple” Domains
3.2. Normalization and Nonsimple Domains
3.2.1. Foreign Keys
Conclusion
