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 ...

You have a big data project. You understand the problem domain, you know what infrastructure to use, and maybe you’ve even decided on the framework you will use to process all that data, but one ...