The Apache Spark open-source in-memory computing framework is the focus of a number of new initiatives just unveiled by Hortonworks.

Hortonworks today issued a broad and detailed roadmap outlining the investment it would like to see made to Apache Spark, the in-memory processing framework that has become one of Hadoop’s most ...

The folks behind Apache Spark today unveiled Project Hydrogen, a new endeavor that aims to eliminate barriers preventing organizations from using Spark with deep learning frameworks like TensorFlow ...

Hortonworks announced that the high-performance analytics engine Apache Spark is fully enabled for YARN, meaning that it can be deployed with other engines on a single Hadoop cluster.

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

A partnership with Hewlett Packard Enterprise, enhancements to Apache DataFlow and a new release cadence all mean one thing: Hortonworks is serious about making Hadoop fit into enterprise IT ...

Get the source code for the example applications demonstrated in this article: “Aggregating with Apache Spark.” Created by Ravishankar Nair for JavaWorld.

Home listing service Airbnb Inc., building upon technology investments in data analytics and machine learning tools, launched a new matching engine for its mobile application last month that the ...

Databricks and Hugging Face integrate Apache Spark to more seamlessly load and transform data for AI model training and fine-tuning.