The Future of Mass Storage & Large-scale Data Management

Mr Bruce Gilpin, Mr Jon Tinberg1

1Xenon Systems, Springvale, Australia, 2Versity , San Francisco , USA

Every large-scale research organization needs to understand new options for managing and preserving massive data collections. In this session, Bruce Gilpin (Co-founder and CEO of Versity Software) will show you why traditional approaches to mass storage are rapidly becoming obsolete.

Advances in sensor technologies, computational power, and data analytics technologies are producing larger and larger data sets that must be managed efficiently to maximize the utility of data that is collected and to free budgetary resources for scientific discovery.

Bruce will identify and explain the key problems with legacy approaches to data management and describe a next generation software platform that has fundamentally new and different capabilities in terms of capacity, throughput, and advanced features.

You will learn about key mass storage architectural paradigms and understand trade offs. You will learn about how S3 data streams can co-exist with tape storage systems. And you will learn about new ways to create and harvest rich metadata for the benefit of researchers.

This is a presentation focused on arming you with the latest commercial and technical information you need to plan a successful large-scale storage system leveraging new technologies.


Biography:

Mr Bruce Gilpin is a mass storage expert with over 20 years experience building innovative technology products and companies from the ground up. Previously he was EVP of Corporate Development at the global web development and branding company USWeb/CKS, CFO of the electric motorcycle company Brammo Inc., and COO of the mobile media company MobiTV.

Mr Gilpin is currently Co-Founder, Chairman and CEO of Versity. Founded in 2011, Versity allows you to manage and protect your file and object data collections with a powerful and user-friendly mass storage platform built to deliver the performance you want with the cloud-scale economics you need.

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