It's hard to get away from data these days, especially Big Data. The news is full of stories about how fast it's accumulating, about technologies for capturing and analyzing it, and about the creative ways organizations are using it. Pundits have even dubbed personal data the “new oil” that will
Sigurd Hermansen, from Westat, got his idea for breaking big data into small pieces after watching Jim Goodnight dissect a blade server to show the power high-performance analytics has processing for big data. Goodnight also demonstrated how Visual Analytics Explorer transfers the data from the servers to a workstation and
I’ve heard it said that the only thing you can count on in life is change. The same can be said of technology. Change is certain, and the rate of change seems to accelerate with each passing year. Change requires us to adapt, but as we race to keep up with
You may still believe that Hadoop is going to solve all of the world’s problems with big data. It won’t. Hadoop is a framework for storing large-scale data processing with both pros and cons for organizations. Christopher Stevens, from Greenplum, explained that Hadoop is rapidly becoming the go-to for big
Jim Harris (@ocdqblog) explains the prediction he made about Small Data and VRM.
When working with "big data" you usually have too many points to view in a plot, and end up subsetting or summarizing the data. But now, in SAS 9.3, you have an alternative! For example, the following scatter plot of 10,000+ points is just a visual "blob": But using a new
The first time that I saw a demonstration of SAS Visual Analytics Explorer was awesome, but it didn't give me goosebumps. I got goosebumps the size of golfballs during SAS Global Forum Opening Session when Dr. Goodnight sat down at a computer screen and began to demonstrate how effortlessly users can
Last Friday morning I took a meeting with SAS CEO Jim Goodnight. Despite the hassle, I was happy to rearrange my busy schedule to squeeze him in. Ha! Just a little joke there about my inflated sense of importance! Actually, the meeting was part of a regular series called "Conversations
One of the coolest things that I saw at SAS Global Forum was Dr. Goodnight dissecting a hologram of a SAS high-performance server and describing how the technology works with analytics. This is the height of innovation. You have got to watch this! Here are a few great
You saw Justin Choy and Dr. Goodnight demonstrate the amazing capabilities of SAS Visual Analytics on stage during Opening Session and the Technology Connection at SAS Global Forum. I heard a lot of ooohs and ahhhs (Some were from me, I'll admit.). I also had conversations with SAS users later
Like Vince said a few days ago, you don’t have to be Goliath to see how the intersection of big data and high performance analytics creates competitive advantage. Let’s also be realistic though: compared to someone like Walmart, pretty much everyone’s David! While Telstra and the Commonwealth Bank may not be the largest companies by global measures, they’re still
Many companies are challenged not only with analyzing big data, but with storing and accessing the data. In some cases, organizations can choose an open source storage solution to reduce costs. One popular open source solution is Hadoop. Anna Brown is talking with Paul Kent, Vice President Big Data at SAS,
The INFORMS Conference on Business Analytics and Operations Research kicks off April 15 in Huntington Beach, CA. I had a chance to preview a presentation by Glenn Bailey, Sr. Director of Operations Research at Manheim (the $3B wholesaler auto auctioneer). Glenn's talk is on "The Need for Speed: Responsive Predictive Analytics,"
“When I started using predictive analytics in 1991, I had a desktop computer with a 600 megabyte hard drive running SAS® 5.0 something,” said Olivia Rud, respected business intelligence thought leader and author of Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management. Technology has vastly improved
Big data is one of the hottest topics in business. When you hear those words - BIG Data - you almost surely think of: HUGE financial services firms scoring terabytes of historical and current risk data GLOBAL telecommunications companies mining petabytes of structured and unstructured data INTERNATIONAL retailers repricing hundreds of thousands of products across
In a recent Dr. Dobb's Journal piece, Jim Starkey (senior architect for MySQL ) acknowledges that it's time to embed the power of applications within databases, instead of the other way around. Jim says (italics added by me): I think we can agree that context switches or network round trips
