Big Data World: Part 2. Roles.
In this part, we’ll talk about the roles of people working with Big Data. All these roles are data-centric, but they’re very different. Let’s describe them in broad brushstrokes to understand better who are those people we target.
Big Data World: Part 1. Definitions.
This post is the first in a series about Big Data. It is aimed at telling you how we at JetBrains see Big Data, and consequently, how we're creating products for it. The world of big data can seem mysterious, hidden behind a curtain of unknown and weird words. It’s time to clear up this mystery and define Big Data.
ki: The Next Interactive Shell for Kotlin
There are several options to run Kotlin interactively: kotlinc and Kotlin REPL (read-evaluate-print loop) in IntelliJ IDEA. Neither is ideal. kotlinc does not have autocomplete or syntax highlighting. Kotlin REPL is very powerful, but it forces you to open IntelliJ IDEA, which is not always convenient. Allow me to introduce you to ki, a Kotlin Interactive Shell, and describe its benefits below. An
Kotlin for Apache Spark: One Step Closer to Your Production Cluster
We have released Preview 2 of Kotlin for Apache Spark. First of all, we’d like to thank the community for providing us with all their feedback and even some pull requests! Now let’s take a look at what we have implemented since Preview 1? Scala 2.11 and Spark 2.4.1+ support The main change in this preview is the introduction of Spark 2.4 and Scala 2.11 support. This means that you can now run jobs