With the emergence of the era of Big Data, frameworks like Hadoop arose and the focus of the enterprise shifted to which was processing this data. This is where data science came into the picture.

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 ...

Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science. “When [Netflix’s data science team] started, there was one single kind of data scientist ...