Database Design and Relational Theory
C.j. Date
Sold by Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
AbeBooks Seller since February 27, 2001
New - Soft cover
Condition: New
Quantity: 1 available
Add to basketSold by Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
AbeBooks Seller since February 27, 2001
Condition: New
Quantity: 1 available
Add to basketBecause databases often stay in production for decades, careful design is critical to making the database serve the needs of your users over years, and to avoid subtle errors or performance problems. In this book, CJ Date, a leading exponent of relational databases, lays out the principles of good database design. Series: Theory in Practice. Num Pages: 278 pages, black & white illustrations. BIC Classification: UNA. Category: (XV) Technical / Manuals. Dimension: 233 x 179 x 15. Weight in Grams: 498. . 2012. 1st Edition. Paperback. . . . .
Seller Inventory # V9781449328016
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:
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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