This is a guest post by Dell Software executive Guy Harrison Without doubt, “big data” is the hottest topic in enterprise IT since cloud computing came to prominence five years ago. And the most ...

EMC plans to provide full open-source support for Hadoop with the eventual release of software, appliance, and eventually virtual appliance versions of the Hadoop technology in connection with ...

After major criticism within the Hadoop community regarding its nature and aims, Open Data Platform — an initiative to create a reference-standard Hadoop distribution — announced Monday it will now be ...

Today marks the 10th birthday of sorts for Apache Hadoop, as the first Hadoop cluster was put into production at Yahoo on Jan. 28, 2006. Since then, it has gone on to spawn the "Big Data" craze and ...

The Hadoop community recently promoted YARN-- the next-gen Hadoop data processing framework -- to the status of "sub-project" of the Apache Hadoop Top Level Project. The promotion puts YARN on the ...

During the past few years Neustar, an $830 million publicly-traded data analytics company, has undergone a dramatic business transformation, and it’s been powered almost entirely by Hadoop. The ...

Project Savanna, unveiled last week at the OpenStack Summit in Portland, Ore., includes a framework that connects Hadoop management tools with OpenStack infrastructure. Mirantis is building the ...

When it comes to the Hadoop data platform, Hortonworks and Pivotal could scarcely have more dissimilar approaches. The former prides itself on being a non-proprietary, pure open source product; the ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.

Doug Cutting stands head-and-shoulders above most developers I’ve met—figuratively, as well as literally. As one of the founders of the Hadoop open source project, which allows many Big Data projects ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.