We’ll be using Apache Spark 2.2.0 here, but the code in this tutorial should also work on Spark 2.1.0 and above. How to run Apache Spark Before we begin, we’ll need an Apache Spark installation.

Developers are increasingly adopting Apache Spark over MapReduce for big data processing, according to a new Typesafe survey.

Apache Spark with Java 8 is proving to be the perfect match for Big Data. Spark 1.0 was just released this May, and it’s already surpassed Hadoop in popularity on the Web. Java 8, the latest version, ...

Apache Spark has emerged as a versatile and high-performance Big Data processing framework, providing Java developers with tools for real-time data analytics, machine learning and more.

The main idea is to increase developer productivity. The new version also comes with the Java 8 Stream API, which supports functional-style operations on streams of elements.