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These days, IT departments are being asked to manage more and more devices with no loss of speed or efficiency. This short whitepaper offers solutions for virtual desktop management from a central device reducing operating time and costs and increasing productivity.
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This paper examines the business case a large insurance company recently put together to investigate the merits of implementing a storage virtualization solution based on IBM’s SAN Volume Controller (SVC) technology. Continue reading to learn how storage virtualization with IBM SVC can help lower overall total cost of ownership.
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This resource helps users understand what VMware vSphere Replication is, explain some of the benefits of its features, and provide an overview of how it works to protect virtual machines against failure.
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Virtualization is top priority for CIOs and data center managers. Download this guide on virtualization and discover an approach that distributes intelligence across all levels, while centralizing the control and management of your entire environment.
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Virtualization is an approach to pooling and sharing IT resources so they can flexibly and automatically meet fluctuating business demand. This special report provides a complete outline on virtualization from how to get started technically and organiz...
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This brief video cuts through some of the confusion surrounding SDS and tells you what to look for – and what to avoid – when choosing an SDS product.
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Do you want to share, store, sync and secure data on any device at any time? Learn about the features of an enterprise-grade file sharing platform in this white paper.
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Data is constantly growing at exponential rates, but how do you stop this cycle? This white paper looks at how correcting provisioning inefficiencies and eliminating data redundancies through data virtualization tools can enable space-effic...
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.
