Improve the efficiency and accelerate job execution by moving traditional SAS workloads into Hadoop to modernize and optimize SAS analytics. How can we run traditional SAS® jobs, including SAS® Workspace Servers, on Hadoop worker nodes? The answer is SAS® Grid Manager for Hadoop, which is integrated with the Hadoop ecosystem to provide resource management, high availability and enterprise scheduling for SAS customers. By moving SAS workloads inside the Hadoop cluster, efficiency is improved and job execution is accelerated. We will also cover the role of Hadoop YARN, Hadoop Distributed File System (HDFS) storage, and Hadoop client services. We review SAS metadata definitions for SAS Grid Manager, SAS® Object Spawner, and SAS® Workspace Servers. By attending this webinar, registrants will receive the accompanying whitepaper that covers this in more detail as presented at SAS Global Forum April 2017.
Mark Lochbihler, Channels Partner Engineering, Hortonworks