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

Set up and use Spark to analyze data contained in Hadoop, Splunk, files on a file system, local databases, and more.

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.

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 ...

We’re proud to share the complete text of O’Reilly’s new Learning Spark, 2nd Edition with you. It includes the latest updates on new features from the Apache Spark 3.0 release, to help you: ...

At GTC 2023, Nvidia's director of engineering Sameer Raheja shared how Rapids can accelerate Apache Spark data jobs at much lower cost.

This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases.