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Designing Databases

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Designing Databases presents an object-role modelling approach to relational database design based on extensions to the Natural Language Information Analysis Method (NIAM). The subject matter includes an overview of an architecture for representing data in information systems, a conceptual model of a database, a step-by-step approach to creating conceptual schema, a method for transforming the conceptual schema into relational tables, and exercises with answers. The text is designed to assist those studying information systems design. It is appropriate for students of the Queensland Senior subject Information Processing and Technology and similar subjects, as well as Tertiary students studying database development.
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Table of Contents

1 System architecture A conceptual information system 2 Conceptual schema design process Step 1: Convert examples to elementary facts Arity Elementary facts Significant output reports Step 2: Draw the fact types Ternary facts Multiple fact types Population check Step 3: Check for entity types that should be combined Step 4: Add uniqueness constraints and check arity of fact types Uniqueness constraints on unary fact types Uniqueness constraints on binary fact types Determining uniqueness constraints Uniqueness constraints on longer fact types Arity check Assumptions External uniqueness constraints Step 5: Add mandatory constraints Disjunctive mandatory roles Reference schemes Step 6: Check for arithmetic and logical deviations Arithmetic deviations Logical deviations Step 7: Add other constraints Value constraints Frequency constraints Subset constraints Equality constraints Exclusion constraints Subtype constraints Step 8: Perform final checks 3 Relational implementation The relational model The relational mapping procedure Step 1: Compound uniqueness constraints Step 2: Simple uniqueness constraints Step 3: Constraints Nested fact types One-to-one fact types Subtypes Glossary Answers Index

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