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Review this resource to learn a simple five-step action plan designed to enable IT execs to achieve effective SOA governance. Find out the right SOA governance plan can help you quickly and easily alleviate common SOA challenges.
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Recent reports expose the monumental growth rate of data volumes. With increasing data volumes comes a need for computational power to absorb and analyze all this data in an attempt to gain a competitive edge. This paper attempts to shed some light on the decision process for selecting a specialty analytic server in today's business environments.
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Discover why Citrix cloud solutions are a clear choice for leading cloud providers, helping them quickly and profitably build differentiated and flexible cloud solutions that are right for their business and their customers.
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Access this white paper to learn about a new single integrated solution that can support all desktop and application virtualization architectures in your enterprise.
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This paper discusses key criteria and decision points for determining what server and storage hardware are appropriate for a medium-sized SharePoint Server 2010 farm. It offers guidelines and rules of thumb for determining how much storage space should be allocated, and when separate storage volumes are desirable.
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High density computing is today's standard in best-in-class performance and availability, and those that fail to keep pace or fall behind will find themselves no longer competitive in today's markets.
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This document describes a reference architecture designed to help a channel reseller or customer construct a simple virtual desktop infrastructure (VDI) configuration that can remove the guesswork from sizing and deploying VDI.
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This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
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This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
