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 ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

The Java Platform provides the most commonly used data structures in the form of the Collections Framework, and it provides a rich API to operate on them. In this first article in a two-part series, I ...

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 ...

Data structures and algorithms in Java, Part 2 introduced a variety of techniques for searching and sorting one-dimensional arrays, which are the simplest arrays. In this tutorial you’ll explore ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

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 ...

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 ...