Stephen Foerster is a Senior Manager in the Global Enablement and Learning (GEL) Team within SAS R&D's Global Technical Enablement Division. Stephen has almost 20 years experience designing and building data warehouses and decision support systems using SAS and other technologies. Stephen now uses that experience creating enablement material for SAS technologists worldwide.
Cloud Analytic Services (CAS) is really exciting. It’s open, multi-threaded and distributed. And, best of all for SAS programmers, it’s SAS. You can even run DATA Step in CAS. Here's more on how DATA Step work in a multi-threaded, distributed context.
Many SAS users have inquired about SAS Cloud Analytic Services’ (CAS) Distributed Network File System (DNFS) of late, so let’s look at it further in this blog post. (Learn more about CAS.) The “NFS” in “DNFS” Let’s start at the beginning. The “NFS” in DNFS stands for “Network File System”
The Cloud Analytic Server (CAS for short) is SAS’ latest high-performance, scalable, in-memory analytic data server. In this post, I’d like to discuss the CAS physical data model, i.e.what features CAS offers for data storage, and how to use them to maximize performance in CAS (and consequently SAS Visual Analytics
