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 ...

As the big data community gores itself over real-time vs. batch, Basho CTO Dave McCrory (@mccrory) offers an easy way to settle the question: Let gravity decide. Or data gravity, to be more precise.

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 ...

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 ...

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 ...

Hadoop and Spark clusters have a reputation for being extremely difficult to configure, install, and tune, but help is on the way. The good folks at Cluster Monkey are hosting a crash course entitled ...

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 ...

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 ...

Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...