9781449328016-1449328016-Database Design and Relational Theory: Normal Forms and All That Jazz

Database Design and Relational Theory: Normal Forms and All That Jazz

ISBN-13: 9781449328016
ISBN-10: 1449328016
Edition: 1
Author: Chris Date
Publication date: 2012
Publisher: O'Reilly Media
Format: Paperback 260 pages
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Book details

ISBN-13: 9781449328016
ISBN-10: 1449328016
Edition: 1
Author: Chris Date
Publication date: 2012
Publisher: O'Reilly Media
Format: Paperback 260 pages

Summary

Database Design and Relational Theory: Normal Forms and All That Jazz (ISBN-13: 9781449328016 and ISBN-10: 1449328016), written by authors Chris Date, was published by O'Reilly Media in 2012. With an overall rating of 3.5 stars, it's a notable title among other Relational Databases (Databases & Big Data) books. You can easily purchase or rent Database Design and Relational Theory: Normal Forms and All That Jazz (Paperback) from BooksRun, along with many other new and used Relational Databases books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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