As SAS Viya has been gaining awareness over the past year among SAS users, there has been a lot of discussion about how SAS’ Cloud Analytic Server (CAS) handles memory vs SAS’ previous technologies such as LASR and HPA. Recently, while I was involved in delivering several SAS Viya enablement
SAS Data Connector to Oracle lets you easily load data from your Oracle DB into SAS Viya for advanced analytics. SAS/ACCESS Interface to Oracle (on SAS Viya) provides the required SAS Data Connector to Oracle, that should be deployed to your CAS environment. Once the below described configuration steps for
I have been using the SAS Viya environment for just over six months now and I absolutely love it. As a long-time SAS coder and data scientist I’m thrilled with the speed and greater accuracy I’m getting out of a lot of the same statistical techniques I once used in
Editor’s note: This is the third in a series of articles to help current SAS programmers add SAS Viya to their analytics skillset. In this post, Advisory Solutions Architect Steven Sober explores how to accomplish distributed data management using SAS Viya. Read additional posts in the series. In my last article I
Editor’s note: This is the second in a series of articles to help current SAS programmers add SAS Viya to their analytics skillset. In this post, Advisory Solutions Architect Steven Sober explores how to accomplish distributed data management using SAS Viya. Read additional posts in the series. This article in the SAS
Ensemble models have been used extensively in credit scoring applications and other areas because they are considered to be more stable and, more importantly, predict better than single classifiers (see Lessmann et al., 2015). They are also known to reduce model bias and variance (Myoung - Jong et al., 2006;
SAS® Viya™ 3.1 represents the third generation of high performance computing from SAS. Our journey started a long time ago and, along the way, we have introduced a number of high performance technologies into the SAS software platform: In-Database processing where SAS data quality and analytical processing occur within the
The title of this post borrows from Stanley Kubrick’s 1964 comedy “Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb.” It stars the great Peter Sellers as the titular character as well as George C. Scott and Slim Pickens. The black and white film is strange
During a recent customer visit, I was asked how to include a calculated variable within SAS Asset Performance Analytics’ (APA) Root Cause Analysis workflow. This is a simple request. Is there a simple approach to do this? To remind you, in the APA workflow, an ETL Administrator makes a Data
Nearly every organization has to deal with big data, and that often means dealing with big data problems. For some organizations, especially government agencies, addressing these problems provides more than a competitive advantage, it helps them ensure public confidence in their work or meet standards mandated by law. In this
