(Description and Excerpts from Preface and David McGoveran's Foreword)
This guide consists of 50 sections 1-3 pages long, each based on a carefully selected dbdebunk.com Q&A. Each documents and debunks one or more major common and entrenched myths/misconceptions/fallacies about data and relational fundamentals and discusses the practical implications thereof.
Instead of a Table of Content, there is an Index of Misconceptions:
- Data independence (logical, integrity, physical)
- Data integrity (business rules, integrity constraints, database consistency)
- Data models (relational, hierarchic, network)
- Relational data sub-language (vs. computationally complete language)
- Database and application-specific functions
- Domains (simple, non-simple, data types)
- Entity supertype-subtypes (and inapplicable data)
- Keys (natural, primary, surrogate)
- Levels of representation (conceptual, logical, physical)
- Missing data (NULL, many-valued logics)
- Normalization, further normalization, denormalization, normal forms
- Relational Data Model
- Relations (base, derived) vs. R-tables
- SQL and relational fidelity
- Types of model (conceptual, logical, physical, data)
- "Unstructured data"
Updates and revisions
- Same year revisions and new versions are free.
- Next year revisions are free.
- Next year new editions are half price.
How to order
Preferred: Check or money order (Contact us for mailing address).
- Click on the Buy Now button;
- Login to your Paypal account and pay the amount;
If there is sufficient demand for printed copies I may offer them via a Print on Demand outfit.
We appreciate your support, which keeps this site free. Thank you.
Founder, Editor, Publisher and Debunker-in-Chief
My other books: