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.

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.

Apache Spark™ and Delta Lake deliver fast, reliable data to your data teams for all your data engineering, data science, machine learning, and business analytics use cases.

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.

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%.

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...