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
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
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
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
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,
“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
