Making Effective Use of Hybrid Storage Models in Research Environments
Michael Cocks 1Spectra Logic, Boulder, Colorado, United States
Abstract
As research computing becomes increasingly distributed and data intensive – spanning multiple data centers, edge locations and public cloud providers with increasing velocity of data growth – multi-cloud and multi-site research organizations face unprecedented challenges in their storage management strategies, grappling with the balance of constraints of legacy technologies with the need to continue spurring innovation in research. Enabling effective collaboration across distributed locations requires unified data access, with storage capacity and performance that scale to meet a multitude of disparate requirements. The right strategies require elasticity, and a cost of scale that is manageable in economically unstable times.
The analytics revolution has brought two things into focus as we consider this challenge: the value of data will be best realized in hybrid cloud environments, and centralizing data access is a key factor to accelerating discovery. Join us as we explore real-world use cases that exemplify how organizations are optimizing their data storage, management and growth strategies for more effective and scalable data collection, governance and classification in support of breakthrough research.
Biography
Michael Cocks is the Country Sales Manager for Spectra Logic in Australia and New Zealand. With more than 30 years of experience in the industry, Michael has held various roles within computing and data storage companies such as Silicon Graphics (SGI), Hitachi Data Systems (HDS), Olivetti and Spectra Logic. At Spectra, he manages relations with several customers in the Australia and NZ area, including Fox Sports, Foxtel, Weta Digital, Post Op Group, TVNZ, Australian Square Kilometre Array Pathfinder, Australian National University, UTAS, CSIRO and many others. Michael graduated from Southampton University in the UK where he studied Electronics Engineering.