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 ...

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 ...

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 ...

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 ...

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 ...