Steven is responsible for empowering SAS sales and system engineers in the positioning and integration of SAS® Viya, SAS® In-Database Code Accelerator for Hadoop, SAS® Scalable Performance Data Server, and SAS® Grid Manager. During his tenure at SAS, Steven has traveled globally working with customers to quickly integrate the SAS system to automate processes. Before joining SAS in 1989 as the first employee of SAS Switzerland, Steven worked for the U.S. Geological Survey, Water Resources Division, assisting hydrologists to leverage the SAS system to derive intelligence on ground and surface water in Southern Colorado. He holds a Bachelor of Science degree in Computer Science from the University of Southern Colorado in Pueblo, Colorado.
In this post, you'll learn how to parallel load and compress a SAS® Cloud Analytic Services (CAS) Table in one pass of the CAS table.
The SAS DATA Step's DESCENDING option on BY variables quickly reveals a data set's largest value.
Prior to distributed DATA Step, DATA Step programmers never had to think about achieving repeatable results because DATA Step ran single-threaded and the source SAS7BDAT dataset was stored on disk. But if you need to obtain repeatable results in DATA Step code that runs distributed in CAS, this post provides a workaround that you'll want to keep handy.
