One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...

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 ...

When it comes to leveraging existing Hadoop infrastructure to extend what is possible with large volumes of data and various applications, Yahoo is in a unique position–it has the data and just as ...

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 ...

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 ...

Once, Hadoop was synonymous with big data. Now, Spark and cloud services are riding high as Hadoop heads off into the sunset It wasn’t long ago that Hadoop was destined to be the Next Big Thing, ...

Big data is transitioning from one of the most hyped and anticipated tech trends of recent years into one of the biggest challenges that IT is now trying to wrestle and harness. We examine the ...

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 ...

Hadoop has progressed from a large scale, batch-oriented analytics tool used by a handful of webscalers to a multi-application processing platform for webscale and enterprise users. The vendors of ...