This article explores tuning techniques for Hibernate applications, focusing on poorly documented topics, such as inheritance mapping, second level cache and enhanced sequence identifier generators.

Almost every application has to access data to do its work. Hades is an open source library that's built on top of JPA and Spring to aid the creation of DAOs by reducing the effort required.

Although many of the important tasks a DBA has to perform should be done 'by hand', keying in commands or using SSMS, the canny DBA with a heavy workload will always have an eye to automating routine tasks wherever possible, or using a tool. Although the likely candidates for automation are often obvious, it is not always so. Time can often be saved in surprising ways.

When building Web applications with the Google Web Toolkit, using Berkeley DB Java Edition as a persistent data store can reduce project costs significantly.

Many developers have asked how to use GWT and Hibernate together. Although you can find numerous discussions about this topic on the GWT Developer Forum, we thought it would be beneficial to sum up some of the most popular strategies, and highlight their advantages and shortcomings in the context of GWT application development.

In this Mastering Grails installment, Scott Davis explores the various ways that Grails can use database tables that don't conform to the Grails naming standard. If you have Java™ classes that already map to your legacy databases, Grails allows you to use them unchanged. You'll see examples that use Hibernate HBM files and Enterprise JavaBeans 3 annotations with legacy Java classes.

Ten fundamental prescriptions and proscriptions to help you be more successful in your database development endeavors.

If you're a Java™ 2 Enterprise Edition (J2EE) developer, you'll want to preview the SQLXML technology. Check out procedures to create an XML document, store an XML document in a relational database, retrieve an XML document from a database, and navigate an XML document with the SQLXML Java data type.

When it comes to embedded systems and mobile devices, developers face a very important choice between flat files and an embedded database, as any future change can be very risky and expensive. However, to meet deadlines and satisfy hardware restrictions, many developers build custom solutions from scratch, preferring a quick, simple implementation to a scalable one. As the product line evolves, these solutions can become very complex and difficult to reconcile with new requirements.

Here we examine data persistence patterns to help you determine which best suits your needs. We look at a number of patterns, including the Active Record, the Data Mapper, the Repository, the Identity Map, the Lazy Loading, and the Virtual Proxy.