Paper Title: Making the Right SSD Choice for Big Data, Fast Data Workloads

Paper Abstract: While the impressive technological advances of Data Center SSDs have been widely discussed, many decision makers are still unclear as to how to choose the right SSD to match their respective workloads. For most data analytics processing, NVMe™ can significantly improve performance for Fast Data workloads like NoSQL and MySQL™ databases. This especially holds true when searching for the proverbial needle in the haystack, as in running queries against massive data lakes. With all the talk of massive SSDs, do they really measure up for Big Data needs like write performance, endurance and cost when compared to upcoming HAMR and MAMR HDDs? Likewise, as hybrid clouds have increasingly become a hot topic with the challenges of security and data retrieval from the public cloud, on premise processing for mission critical workloads has never been more important. This session will discuss customer experiences for SATA, SAS, and NVMe SSDs in cloud, hyperscale and enterprise workloads for Big and Fast Data. It will also explore how to optimize hybrid workloads on-premises and leverage the cloud for elastic compute with reference architectures and benchmarks.

Paper Author: Walter Hinton, CMO, Pavilion Data Systems

Author Bio: Walter Hinton is the Senior Director of Enterprise Solutions at Western Digital. He is responsible for aligning a broad platform of storage devices to traditional and emerging data center applications. With over 25 years of experience in data storage, Hinton has helped build successful startups like McDATA, ManagedStorage International and ViridentSystems. He also previously served as Chief Strategist at StorageTek, partnering across the industry to foster the creation of the Storage Network Industry Association (SNIA). Hinton holds a Bachelor of Arts from William Jewell College and a Master of Business Administration from the University of Denver.