Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...