Architecting Parallel File Systems for Modern Data Challenges
TimeTuesday, July 302:30pm - 3pm
DescriptionManaging data at scale is a continuously evolving challenge. Today’s desire to retain, analyze and productize increasingly diverse and growing data sets strains the capabilities of legacy architectures. Learn about recent advances in parallel file system architectures that DDN has brought to market are designed to address the challenges introduced by the recent focus on machine learning and artificial intelligence, and how these innovations are making data faster to access, easier to manage and more efficient to store.