The need to persist data created at runtime is as old as computing. And the need to store object-oriented data cropped up when object-oriented programming became pervasive. Currently, most modern, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

O’Reilly has announced the release of “Java Data Objects” (US$39.95), co-authored by David Jordan and Craig Russell. Java Data Objects (JDO) allows Java developers to manage data without any ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The job of the EJB developer is constantly challenging, making the task of designing maintainable and scalable systems difficult without a clear set of best practices to follow. It is with this and ...

The majority of the business applications written using the Java programming language include external data of some type or another. Typically, a programmer will use techniques, such as Java Database ...

Business logic and database access decisions There are two quite different ways to design an enterprise Java application. One option is to use the classic EJB 2 approach, which I will refer to as the ...