Spring Persistence with Hibernate

Paul Fisher · Brian D. Murphy

2011年2月 · Apress

关于此电子书

Persistence is an important set of techniques and technologies for accessing and transacting data, and ensuring that data is mobile regardless of specific applications and contexts. In Java development, persistence is a key factor in enterprise, e-commerce, and other transaction-oriented applications.

Today, the Spring framework is the leading out-of-the-box solution for enterprise Java developers; in it, you can find a number of Java Persistence solutions.

This book gets you rolling with fundamental Spring Framework 3 concepts and integrating persistence functionality into enterprise Java applications using Hibernate, the JavaTM Persistence API (JPA) 2, and the Grails Object Relational Mapping tool, GORM.

• Covers core Hibernate fundamentals, demonstrating how the framework can be best utilized within a Spring application context
• Covers how to use and integrate JPA 2, found in the new Java EE 6 platform
• Covers how to integrate and use the new Grails persistence engine, GORM

作者简介

Paul Tepper Fisher first began working in technology at Johns Hopkins University, where he spent several years developing a distance learning application for neuroscience, while completing graduate school there. He has founded two technology start-ups: SmartPants Media, Inc., a software development company specializing in interactive multimedia technology; and dialmercury.com, which develops telephony applications using VoIP and Java. Paul was also manager of technology at Wired.com, where he lead the software development team for the on-line publications of Wired.com, webmonkey.com, and howto.wired.com, using Spring, Grails, and Java technology. Currently, Paul is director of engineering for a new music service at Lime Company, where he manages several development teams using agile methodologies. Comprised of client-side and server-side components developed using Java, the music service is designed for horizontal scalability and leverages cloud-computing to dynamically change the infrastructure size in response to load. You can read Paul s blog at http://www.paultepperfisher.com. Paul lives in Brooklyn, New York.