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 ...

The Hadoop Summit 2012 in San Jose June 13 and 14 could see a the public coming out of Hadoop on Microsoft Windows Server. The move, probably either at Hadoop or at Microsoft’s Tech Ed starting June ...

When Morgan tried to do some portfolio analysis 18 months ago it found that traditional databases and grid computing just wouldn’t scale to the very large volumes of data that its data scientists ...

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 ...

In a new survey conducted by Syncsort, 250 prominent respondents including data architects, IT managers, developers, business intelligence/data analysts, and data scientists weigh in on big data ...

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 ...

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 ...

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 ...

The new Hadoop is nothing less than the Apache Foundation’s attempt to create a whole new general framework for the way big data can be stored, mined, and processed. It ought to not only further ...

The promise of big data is enormous, but it can also become an albatross around your neck if you don't make security of both your data and your infrastructure a key part of your big data project from ...