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In this informative paper, learn why a government industry has relied on the same Linux solution for the past ten years, using an open source model to simplify software and hardware implementations, reduce costs, and more.
WHITE PAPER:
This white paper follows the evolution of SharePoint and explore the latest features and reference architecture that support collaboration, document and records management, search and retrieval, and other essential tasks in environments that house massive quantities of unstructured information.
WHITE PAPER:
Need to minimize the risk of server failures and optimize your inventory database? LSI shows why deploying HA servers at your retail branch locations is critical to adding value to your business.
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There is a clearly identifiable need for today's storage administrators to refocus their approach toward a scalable data protection and recovery solution. Take a look at this white paper to learn about the data protection requirements for storage admins.
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Check out this in-depth guide to find out the various features and benefits of each storage system IBM offers – so you can decide which storage solution will fit best into your business environment.
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This case study highlights the importance of updating IT systems to handle increased storage demands. It also explains how one organization was able to implement a shared storage solution that was designed to work in a virtualized environment.
WHITE PAPER:
This white paper highlights three top ways storage virtualization can help you cost-efficiently tackle some of your toughest challenges associated with data growth.
WHITE PAPER:
Say "Yes" to the last primary storage platform you'll ever need. This entails painless migration to Tier-1 storage and 8x faster storage to provision. In this white paper, learn how you can respond to any demand effortlessly, without exception, and without compromise.
WHITE PAPER:
Highlighted in this custom white paper is a storage solution that offers the simplicity of NAS coupled with the scalability, performance, and simplified management that machine learning, AI, and analytics workloads require.