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 ...

We cover some of the most popular big data tools for Java developers. Discover the best big data tools and what to look for. In the modern era of data-driven decision-making, the abundance of data ...

Get started with one-dimensional arrays and array variables, then try out five algorithms for searching and sorting arrays in your Java programs An array is a fundamental data structure category, and ...

As with any technology, the challenge to gaining proficiency is not being afraid to venture into the unknown. As Mark Twain noted, “the secret of getting ahead is getting started,” and a strategy to ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Although R and Python are the dominant languages for developing AI and data science applications ...

The Jakarta Persistence API (JPA) is a Java specification that bridges the gap between relational databases and object-oriented programming. This two-part tutorial introduces JPA and explains how Java ...

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 ...