Big Data and Analytics Workloads on Amazon EFS

_WHEN: JUNE 28 | 11:00 AM - 11:45 AM PT (2:00 PM - 2:45 PM ET) LEVEL 300 | SERVICE HOW TO Big data and ANALYTICS APPLICATIONS REQUIRE STORAGE THAT CAN SCALE IN CAPACITY AND PERFORMANCE TO HANDLE WORKLOAD DEMANDS WITH HIGH THROUGHPUT TO COMPUTE NODES COUPLED WITH READ-after-write consistency and low-latency file operations. Many ANALYTICS WORKLOADS INTERACT WITH DATA VIA A FILE INTERFACE, rely on file semantics such as file locks, and require the ability to write to portions of a file. AMAZON EFS PROVIDES THE ELASTICITY AND AGILITY TO SCALE FOR ANALYTICS WORKLOADS. In this technical session, we will dive deep and discuss technical considerations when deploying ANALYTICS ON EFS, with a focus on SAS Grid, a shared, centrally managed ANALYTICS COMPUTING ENVIRONMENT. We will describe best practices and discuss tips for success. Learning Objectives:  • Recognize why and when to use AMAZON EFS AND THE ECONOMIC BENEFITS VERSUS OTHER SOLUTIONS • Understand best practices for deploying big data and ANALYTICS WORKLOADS WITH AMAZON EFS • Learn tips for a successful AMAZON EFS DEPLOYMENT WHO SHOULD ATTEND: IT Infrastructure Architects, Administrators, and DevOps Professionals who are planning to implement or extend their data ANALYTICS WORKLOADS ON THE AWS CLOUD SPEAKER(S): Darryl Osborne, Storage Specialist, Solutions Architect, AWS; Vince Carreon, Sr. Product Manager, AWS _