Joseph Woodside shares examples of applied experimental learning in healthcare from his book, "Applied Health Analytics and Informatics Using SAS".
Joseph Woodside shares examples of applied experimental learning in healthcare from his book, "Applied Health Analytics and Informatics Using SAS".
The SAS Jedi Mark Jordan presents his SAS Global Forum 2018 paper "Working with Big Data in SAS"
Our colleagues at the SAS office in Korea recently had the opportunity to interview two customers from KT, one of the biggest telecommunications companies in Korea, about getting SAS certified. Sung-chul Hwang and Gyu-seob Lee both have four SAS certifications – Base Programmer, Advanced Programmer, Statistical Business Analyst and Predictive
I'm gearing up to teach the next "DS2 Programming Essentials with Hadoop" class, and thinking about Warp Speed DATA Steps with DS2 where I first demonstrated parallel processing using threads in base SAS. But how about DATA step processing at maximum warp? For that, we'll need a massively parallel processing
I remember the first time I was faced with the challenge of parallelizing a DATA step process. It was 2001 and SAS V8.1 was shiny and new. We were processing very large data sets, and the computations performed on each record were quite complex. The processing was crawling along on
Election fever has hit the United Kingdom as the days count down to 7th May 2015. This is likely to be one of the most uncertain elections in recent memory, with nearly 10 parties struggling for votes across England, Scotland, Wales and Northern Ireland. Results night will be tense, with the different
England’s shambolic early exit from the Cricket World Cup has stirred up a hornet’s nest about the team’s supposed over-reliance on data. In the aftermath of their defeat to Bangladesh, coach Peter Moores said: ‘We thought 275 (runs) was chaseable. We’ll have to look at the data.’ It prompted outrage from
Outside, the Cary, NC sky is gray and winds are blowing freezing rain, but a group of statisticians at SAS are channeling warm green hills and the soft, gold light of a California evening. Team conversations alternate between distributed processing, PROC IMSTAT and how many pairs of shorts to pack.
Do you have too many models to build, too many to manage, too few analytic resources or too much data? A Model Factory may be your answer. The mindset of analytics is changing. This represents the transformation from a “craftsman” dominated culture in which multiple weeks were spent cycling through
The first time I used the Internet it blew my mind. As a diplomat brat, at any point in time everyone I knew was everywhere but where I was. Thanks the miracles of Gopher, Veronica, IRC and email, the tyranny of distance didn’t seem so oppressive any more. When I