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, ...

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

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.

Get an overview of threadless, multithreaded, and distributed aggregation using the Streams API, Java threads, and MapReduce, then see for yourself what Spark's cluster computing engine brings to ...

The days of monolithic Apache Spark applications that are difficult to upgrade are numbered, as the popular data processing framework is undergoing an important architectural shift that will utilize ...

Unsurprisingly, Python dominated among big data developers that use Apache Spark analytics engine, with 66% citing Python as the language they use with Spark, followed by Java at 34% and Scala at 11%.