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 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 is making remarkable gains at the expense of the original Hadoop ecosystem. Here’s a guide to help decide between Spark and other Hadoop engines. Spark has been gaining major traction in ...

There’s been a lot of rhetoric around Apache Spark over the last few years. Back in the fall of 2014, some even suggested — only partly in jest — that the Hadoop World conference change its name to ...

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 one of the quickest tools, which is apt for large data-scale processing. At times, it even considered as one the topmost data processing solution, which is even quicker than platforms ...

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 ...

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 ...

MapR CMO Jack Norris won’t tell us if an IPO is still in the cards this year for his big data crunching startup. But he had plenty to share about the news his company is making at Strata + Hadoop ...