In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four
When I first started hearing SAS CEO Jim Goodnight talk about high-performance analytics (HPA), I was fascinated. But I have to admit that my mind was spinning a bit from the terminology: blades, cores, captains, generals and so on. But then the metaphorical nature of these terms clicked for me,
The tools for analytics are getting more sophisticated as data becomes more voluminous, says Jim Sterne, President of Target Marketing, in the video below. The real magic still comes from human ingenuity, explains Sterne, but it helps to give analysts the tools they need to make that magic happen. Hear
It's true. "Big data" can be a problem and an opportunity. Many organizations have struggled to manage, much less profit from, the deluge. In 2012, look for big data to spur demand for big data analytics. New developments in high-performance computing as well as increased demand for visualization and text
Oliver Schabenberger likes things that go fast. Perched on a shelf in his office at SAS world headquarters in Cary, North Carolina, are five scale models of Formula One race cars, which symbolize Schabenberger’s fascination with speed and technology. The models are replicas of the life-size, aerodynamic machines that can travel
When you can get three succesful corporate leaders on stage to talk at a technology conference, what do you ask them about? Corporate culture, the economy and business leadership, sure - but most importantly, you talk about technology. Specifically, what technologies should businesses be taking advantage of today? Mobile, social
The promise of high-performance analytics, as I understand it, is this: Regardless of how you store your data or how much of it there is, complex analytical procedures can still access that data, conduct a series of calculations on that data and provide answers quickly, accurately and using the full
The basic big data problem is simple to understand: we create too much data to store and analyze it all. The problem gets bigger, however, when you consider the related factors: our problems themselves are getting bigger, the analytics needed to solve them are more complex and the data is
A common question from customers is, “How do we become more innovative?” In response, Teradata’s Bill Franks and Emdeon’s Kyle Cheek simplified the innovation process on Tuesday at SAS Global Forum by breaking it down into three steps: Break out of the box. Ride the ripple effects. Align all eyes
While many of my colleagues were in Berlin, attending and presenting at the Premiere Business Leadership Conference, I had the privilege of speaking at Intel’s FasterRisk . It struck me as humbling, really: In Berlin, Dr. Jim Goodnight, SAS co-founder and CEO, was wowing an audience of several hundred senior
