Rob Collum is an Advisory Technical Architect in the Global Enablement and Learning (GEL) Team within SAS R&D's Global Technical Enablement Division. Rob identifies and develops proven practices for the successful architecture and deployment of high-performance SAS solutions at customer sites.
The Distributed SAS 9.4 LASR Analytic Server provides a massively parallel processing solution for working very quickly with huge volumes of data. LASR was built from its earliest invocations to provide for incredible scalability and growth. One of the primary criteria which drives the considerations of scalability is load management.
The SAS In-Database Embedded Process is the key technology which enables the SAS® Scoring Accelerator, SAS® Code Accelerator, and SAS® Data Quality Accelerator products to function. The EP is the computation engine we place near the data, which reduces unnecessary data movement and speeds up processing and efficiency. The EP
As of April 15, 2015, Oracle is no longer providing public updates of the Java 7 runtime environment (JRE) or software development kit (JDK). SAS 9.3 and SAS 9.4, however, continue to rely on Java 7 for support of business production. SAS has therefore contracted with Oracle to continue receiving
SAS offers a rich collection of features for working with Hadoop quickly and efficiently. This post will provide a brief run-through of the various technologies used by SAS to get to data in Hadoop and what’s needed to get the job done. Working with text files Base SAS software has the
I was privileged with the opportunity to present a couple of papers at SAS Global Forum 2015 in Dallas, Texas this year. While there, I was also excited to attend presentations with new and inventive approaches for working with the administration and architecture of SAS solutions. This is a collection
SAS System software supports a wide variety architecture and deployment possibilities. It’s wild when you think about it because you can scale the analytic power of SAS from the humblest single CPU laptop machine all the way up to hundreds-of-machines clusters. When SAS deployments involve many machines, it’s natural to
Scalability is the key objective of high-performance software solutions. “Scaling out” is a concept which is accomplished by throwing more server machines at a solution so that multiple processes can run in dedicated environments concurrently. This blog post will briefly touch on several scalability concepts that affect SAS.
Does your site have multiple people maintaining a single deployment of SAS? Is it important for them to maintain a clear audit trail of who is doing what exactly? Or do you need to update your SAS deployment using different userids? Let's take a look at some techniques to manage
