Java -- which first came to fruition in the mid 1990s -- may have taken its place among the legacy languages of the industry, but its developers are enjoying the highest levels of job satisfaction in ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

The blogosphere is full of descriptions about how data science and “AI’ is changing the world. In financial services, applications include personalized financial offers, fraud detection, risk ...

Google is offering a Java SDK to integrate with the Google Cloud Dataflow managed service for analyzing live streaming data as part of its effort to broaden support for the platform. By sharing via ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

It's always a good idea to employ a few static code analysis tools as part of your software development routine. There are a number of great tools that perform static analysis of Java code, such as ...