Great works of fiction are filled with dynamic duos. Sherlock Holmes and Mr. Watson. Rosencrantz and Guildenstern. And, of course, superheroes like Batman and Robin. On Thursday, Nov. 5 at 1 p.m. ET, two real-world Hadoop superheroes – Arun C. Murthy, co-founder of Hortonworks, and Paul Kent, vice president of big data at SAS – are teaming up to take on Hadoop YARN in this webcast: Combine SAS High-Performance Capabilites with Hadoop YARN…with SAS and Apache Hadoop.

This is not the first time this duo teamed up to take on this topic. Arun’s blog post SAS high-performance capabilities with Hadoop YARN showed how you can make Apache Hadoop a successful part of your modern data architecture. Arun shared how the latest high-performance analytics and SAS LASR Analytics Server-based applications from SAS integrate with Hadoop YARN resource managers. With this configurations, the applications “will run as a first class citizen in the Hadoop cluster, co-existing and sharing cluster resources with other YARN enabled workloads running Hadoop and third-party YARN enabled applications.”

Paul’s blog, Share your cluster – How Apache Hadoop YARN helps SAS focused on the value of moving your work to the data. With YARN, Paul said that “users can now take different kinds of computation to the data while sharing both the data and the resources of the cluster.” SAS and Hortonworks engineers have been working together to integrate SAS technologies with Hadoop YARN to get the maximum benefits from Hadoop clusters.

Next Steps

Tune into the live webinar Nov. 5 at 1 p.m. ET to hear directly from these Hadoop industry superheroes and stick around to ask them what they see coming in the future.

The webinar will share with you how SAS technologies have been integrated with Hadoop YARN to:

• Enable a modern data architecture without the need for fragmented processing clusters for each workload.
• Ensure low-latency local data access directly from the data nodes.
• Create Unified Resource Management window-panes for managing SAS resources.