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Data Access Patterns: Database Interactions in Object-Oriented Applications View Larger Image | Clifton Nock Addison-Wesley, Paperback, Published September 2003, 469 pages, ISBN 0131401572 | List Price: $54.99 Our Price: $42.95 You Save: $12.04 (22% Off)
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Customer Reviews: 2 Average Customer Rating:      Write a Review and tell the world about this title! People who purchase this book frequently purchase: - Patterns of Enterprise Application Architecture; Martin Fowler, $50.50, 22% Off!
- Refactoring to Patterns; Joshua Kerievsky, $46.50, 22% Off!
- Refactoring: Improving the Design of Existing Code; Martin Fowler, et al, $46.50, 22% Off!
- Core J2EE Patterns: Best Practices and Design Strategies, 2nd Edition; Deepak Alur, et al, $37.95, 37% Off!
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25 proven patterns for improving data access and applicationperformance
Efficient, high-quality data access code is crucial to the performance and
usability of virtually any enterprise application--and there's no better way
to improve an existing system than to optimize its data access code. Regardless
of database engine, platform, language, orapplication, developers repeatedly
encounter the same relational database access challenges. In Data Access Patterns,
Clifton Nockidentifies 25 proven solutions, presenting each one in the form
of aclear, easy-to-use pattern.
These patterns solve an exceptionally wide range of problems including creating
efficient database-independent applications, hiding obscure database semantics
from users, speeding database resource initialization, simplifying development
and maintenance, improving support for concurrency and transactions, and eliminating
data access bottlenecks.
Every pattern is illustrated with fully commented Java/JDBC code examples,
as well as UML diagrams representing interfaces, classes, and relationships.
The patterns are organized into five categories:
- Decoupling Patterns: Build cleaner, more reliable systems by decoupling
data access code from other application logic
- Resource Patterns: Manage relational database resources more efficiently
- Input/Output Patterns: Simplify I/O operations by translating consistently
between "physical" relational data and domain object representations of that
data
- Cache Patterns: Use caching strategically, to optimize the trade offs between
data access optimization and cache overhead
- Concurrency Patterns:Implement concurrency and transactions more effectively
and reliably
Data Access Patterns demystifies techniques that have traditionally
been used only in the most robust data access solutions--making those techniques
practical for every software developer, architect, and designer.
Customer Reviews
Customer Reviews: 2 Average Customer Rating:      May 20, 2005     Anderson Ito (Software Engineer) from Sao Paulo, Brazil Awesome!!!! This book is a must-read for whom will be developing large-scale, data intensive apps. It rocks!!
Feb 28, 2004     Jim Boyan Good design pattern reference book ! Another good pattern book. The examples are practical.
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