With the new release of its Hadoop distribution, Cloudera has radically expanded the set of supporting tools for the data processing framework. “What we saw was that most organizations deploy quite a ...

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 ...

Where is big data heading? In 2013, I spent a lot of time talking about Hadoop's development towards being a central destination for data. Hadoop may enter an organization for a specific use case, but ...

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 ...

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 ...

In much the same way that Microsoft brought spreadsheet crunching to the business world through its now-ubiquitous Excel, the company is hoping to make a similar impact with big data analysis with its ...

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 ...

Data governance is one of the toughest, dreariest problems in computing. Sadly, the tools offered with the major Hadoop distributions aren't really up to task In the data business, we now have our own ...

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 ...

Hortonworks has a new vision that not only leverages data at rest in Hadoop, data streaming in Spark and data in motion in Apache NiFi, but also data at the tipping point where data itself sets the ...