Apache Spark is the tech du jour in Big Data right now. Its ability to provide speedy performance against huge volumes of data has made such a splash that some people are even beginning to question ...

Apache Spark is most often thought of as a faster replacement for MapReduce, the batch-oriented programming framework that enabled first-gen Hadoop to catch traction 10 years ago. Indeed, Spark was ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

The Apache Software Foundation has announced the first production-ready release of Spark, analysis software that could speed jobs that run on the Hadoop data-processing platform. Dubbed the “Hadoop ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

Hortonworks announced that the Apache Spark, a new high-performance analytics engine, is fully enabled for the YARN resource management technology. This means that the Apache Spark can be deployed ...

June was an exciting month for Apache Spark. At Hadoop Summit San Jose, it was a frequent topic of conversation, as well as the subject of many session presentations. On June 15, IBM announced plans ...

Apache Spark should be considered the default engine for Hadoop workloads going forward, taking the job that MapReduce held for many years, Cloudera announced today. The Hadoop distributor also ...

Listen in on any conversation about big data, and you’ll probably hear mention of Hadoop or Apache Spark. Here’s a brief look at what they do and how they compare. 1: They do different things. Hadoop ...

The quest to replace Hadoop’s aging MapReduce is a bit like waiting for buses in Britain. You watch a really long time, then a bunch come along at once. We already have Tez and Spark in the mix, but ...