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Computer Science | Beginning Database Design - From Novice to Professional

Beginning Database Design

From Novice to Professional

Churcher, Clare

2nd ed. 2012, XXV, 252 p.

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    • First edition is 4 ½ stars on Amazon.com, with 15 five-star reviews.
    • Presents a modern notational language for design based upon the UML.
    • Distinguishes itself by showing good design applied beyond just relational database systems to power user environments such as Microsoft Excel.
    • Appeals to readers through it's short, to the point, conversational approach.
Beginning Database Design, Second Edition provides short, easy-to-read explanations of how to get database design right the first time. This book offers numerous examples to help you avoid the many pitfalls that entrap new and not-so-new database designers. Through the help of use cases and class diagrams modeled in the UML, you'll learn to discover and represent the details and scope of any design problem you choose to attack.

Database design is not an exact science. Many are surprised to find that problems with their databases are caused by poor design rather than by difficulties in using the database management software. Beginning Database Design, Second Edition helps you ask and answer important questions about your data so you can understand the problem you are trying to solve and create a pragmatic design capturing the essentials while leaving the door open for refinements and extension at a later stage. Solid database design principles and examples help demonstrate the consequences of simplifications and pragmatic decisions. The rationale is to try to keep a design simple, but allow room for development as situations change or resources permit.

  • Provides solid design principles by which to avoid pitfalls and support changing needs 
  • Includes numerous examples of good and bad design decisions and their consequences
  • Shows a modern method for documenting design using the Unified Modeling Language

Content Level » Popular/general

Related subjects » Computer Science - Database Management & Information Retrieval

Table of contents 

  1. What Can Go Wrong?
  2. Guided Tour of the Development Process
  3. Initial Requirements and Use Cases
  4. Learning from the Data Model
  5. Developing a Data Model
  6. Generalization and Specialization
  7. From Data Model to Relational Schema
  8. Normalization
  9. More on Keys and Constraints
  10. Queries
  11. User Interface
  12. Other Implementations

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