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.

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

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: ...

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 ...

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

Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is. Snowflake is preparing to run Apache Spark analytics workloads ...

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