The first Spark Summit East conference concluded yesterday, just a month after Apache Spark practically stole the show at the Strata+Hadoop World conference, reinvigorating the debate about where the ...

In this video from the 2015 HPC Advisory Council Switzerland Conference, DK Panda from Ohio State University presents: Accelerating Big Data Processing with Hadoop, Spark and Memcached. Apache Hadoop ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours Apache Spark got its start in 2009 at UC Berkeley’s AMPLab as a way ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on ...

Real-time processing of streaming data in Hadoop typically comes down to choosing between two projects: Storm or Spark. But a third contender, which has been open-sourced from a formerly ...

The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. A reasonable estimate would put the technology on the “slope of ...

MapR Technologies, provider of Apache Hadoop, has announced changes to its services that will help enterprises deploy Hadoop quickly and securely. Map R is releasing version 5.0 of the MapR ...

In this video from the 2015 Stanford HPC Conference, DK Panda from Ohio State University presents: Accelerating Big Data Processing with Hadoop, Spark and Memcached. Download the Slides (PDF) * See ...