Hadoop and MapReduce have long been mainstays of the big data movement, but some companies now need new and faster ways to extract business value from massive — and constantly growing — datasets.

Code submitted this week for inclusion in the Hadoop stack will help speed the spread of the distributed big-data platform, according to Hortonworks co-founder Arun Murthy. The submission of the ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

Big data is a collection of organized, semistructured, and unstructured data that may be mined for information and are used in machine learning, predictive modeling, as well as other advanced ...

The creator of the Hadoop platform, Doug Cutting, is surprised Hadoop didn't have to battle it out with more competitors in its early years but thinks it's now too late for a competitor to take on the ...

An increasing number of jumbo-size enterprise data sets-and all the technology needed to create, store, network, analyze, archive and retrieve them-are considered “big data.” This massive amount of ...

There are very few industries that are as data-centric as banking and insurance. If there’s one thing that can be taken as certain in today’s rapidly changing financial world it’s that both the amount ...

It’s been a big year for Apache Hadoop, the open source project that helps you split your workload among a rack of computers. The buzzword is now well known to your boss but still just a vague and ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...