25 proven patterns for improving data access and application performance Efficient, high-quality data access code is critical to performance and usability of virtually any enterprise application - and there's no better way to improve the existing system than to optimize data access code. Each pattern is illustrated with a full commented Java / JDBC code examples, as well as UML diagrams representing interfaces, classes, and relationships.The patterns are organized into five categories: * decoupling Patterns: Building a cleaner, more reliable systems by decoupling data access code from the logic Other applications * Resource Patterns: Manage relational database resources more efficiently * Input / Output Patterns: Simplify I / O operations by translating consistently between "physical" and the representation of relational data domain object data * Cache Patterns: Use caching strategically, to optimize the lead forth 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 data access solutions to the most powerful - making them practical techniques for every software developer , architects, and designers.