Apache Spark is one of the most popular open source projects in the world, and has lowered the barrier of entry for processing and analyzing data at scale. We asked some of the leaders in the big data ...

Apache Spark is best known as the in-memory replacement for MapReduce, the disk-based computational engine at the heart of early Hadoop clusters. That Spark kicked MapReduce out of the Hadoop nest was ...

Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours ...

A year ago, Microsoft enabled .NET developers to work with Apache Spark using C# or F#, instead of Python or Scala. More functionality and performance enhancements have since been layered on. The ...

Frank Nothaft, technical director of healthcare and life sciences at Databricks, said that Apache Spark's distributed data processing engine is perfect for running complex queries at large scale ...

For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The Data Engineer's Guide to Apache Spark. This ...

Apache Kafka continues to be the rock-solid, open-source, go-to choice for distributed streaming applications, whether you’re adding something like Apache Storm or Apache Spark for processing or ...

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