Database Design and Relational Theory Normal Forms and All That Jazz 1st edition by Date ISBN 1449328016 978-1449328016
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Authors:C. J. Date , Series:IT & Computer [504] , Tags:Computers; Data Science; Data Modeling & Design; General; Data Analytics; Data Warehousing; Machine Learning , Author sort:Date, C. J. , Ids:Google; 9781449330200 , Languages:Languages:eng , Published:Published:Apr 2012 , Publisher:”O’Reilly Media, Inc.” , Comments:Comments:What makes this book different from others on database design? Many resources on design practice do little to explain the underlying theory, and books on design theory are aimed primarily at theoreticians. In this book, renowned expert Chris Date bridges the gap by introducing design theory in ways practitioners can understand—drawing on lessons learned over four decades of experience to demonstrate why proper database design is so critical in the first place.Every chapter includes a set of exercises that show how to apply the theoretical ideas in practice, provide additional information, or ask you to prove some simple theoretical result. If you’re a database professional familiar with the relational model, and have more than a passing interest in database design, this book is for you.Questions this book answers include:Why is Heath’s Theorem so important?What is The Principle of Orthogonal Design?What makes some JDs reducible and others irreducible?Why does dependency preservation matter?Should data redundancy always be avoided? Can it be?Databases often stay in production for decades, and careful design is critical for avoiding subtle errors and processing problems over time. If they’re badly designed, the negative impacts can be incredibly widespread. This gentle introduction shows you how to use important theoretical results to create good database designs.
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ISBN 10: 1449328016
ISBN 13: 978-1449328016
Author: Date
What makes this book different from others on database design? Many resources on design practice do little to explain the underlying theory, and books on design theory are aimed primarily at theoreticians. In this book, renowned expert Chris Date bridges the gap by introducing design theory in ways practitioners can understand―drawing on lessons learned over four decades of experience to demonstrate why proper database design is so critical in the first place.
Every chapter includes a set of exercises that show how to apply the theoretical ideas in practice, provide additional information, or ask you to prove some simple theoretical result. If you’re a database professional familiar with the relational model, and have more than a passing interest in database design, this book is for you.
Questions this book answers include:
- Why is Heath’s Theorem so important?
- What is The Principle of Orthogonal Design?
- What makes some JDs reducible and others irreducible?
- Why does dependency preservation matter?
- Should data redundancy always be avoided? Can it be?
Databases often stay in production for decades, and careful design is critical for avoiding subtle errors and processing problems over time. If they’re badly designed, the negative impacts can be incredibly widespread. This gentle introduction shows you how to use important theoretical results to create good database designs.
Database Design and Relational Theory: Normal Forms and All That Jazz 1st Table of contents:
Chapter 1: The Relational Model: A Brief Overview
1.1. What Is a Database?
1.2. The Relational Model Overview
1.3. Basic Relational Concepts
1.4. Relational Integrity
1.5. Database Languages: SQL and Others
Chapter 2: The Theory of Normal Forms
2.1. What Are Normal Forms?
2.2. First Normal Form (1NF)
2.3. Second Normal Form (2NF)
2.4. Third Normal Form (3NF)
2.5. Boyce-Codd Normal Form (BCNF)
2.6. Fourth and Fifth Normal Forms
2.7. Summary of Normal Forms
Chapter 3: Functional Dependencies and Keys
3.1. Introduction to Functional Dependencies
3.2. Determining Keys
3.3. Candidate Keys
3.4. Surrogate Keys and Natural Keys
3.5. The Role of Keys in Database Design
Chapter 4: Designing with Normal Forms
4.1. Practical Database Design: A Step-by-Step Approach
4.2. The Relational Design Process
4.3. Decomposition and Normalization
4.4. Combining Normal Forms with Design Constraints
4.5. Case Study: Normalization in Action
Chapter 5: Relational Theory in Practice
5.1. Relational Algebra: The Basics
5.2. Relational Calculus
5.3. SQL and Relational Theory
5.4. The Practical Application of Relational Theory
Chapter 6: Denormalization and Performance
6.1. The Case for Denormalization
6.2. Trade-Offs in Database Design
6.3. Balancing Design with Performance Needs
6.4. When to Denormalize: Guidelines
Chapter 7: Advanced Topics in Relational Theory
7.1. Temporal Databases
7.2. Recursive Queries
7.3. Object-Oriented Databases and the Relational Model
7.4. Other Relational Enhancements
Chapter 8: Designing for Distributed Databases
8.1. What Is a Distributed Database?
8.2. Relational Theory and Distributed Systems
8.3. Challenges of Distributed Database Design
8.4. Design Strategies for Distributed Databases
Chapter 9: Real-World Database Design Considerations
9.1. Case Study: Real-World Design Scenarios
9.2. Trade-offs in Design and Theory
9.3. Practical Considerations in Implementing Normal Forms
9.4. Designing for Data Integrity and Security
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