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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.
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This Magic Quadrant compares 18 vendors and the strengths and cautions they each bring to the table with marketing resource management. This provides means each company based on constant criteria, allowing you to choose a vendor that meets your needs.
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Declining flexibility and increasing costs have driven many businesses to adopt cloud computing to improve efficiency with on-demand, virtual services. Access this white paper for a detailed overview of server power management, usage models purpose and pre-requisites, architectural considerations and much more.
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This paper provides an overview of common business use cases for which SharePoint is a good fit, introduces the services and functionality within SharePoint Server 2010, highlights key changes from MOSS 2007, and helps readers understand the terminology and concepts needed for planning or deploying a SharePoint 2010 farm.
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Interstage BPM's superior architecture lets business users and IT professionals collaborate on defining and refining business processes. It empowers knowledge workers to stretch processes to fit to the business needs and it provides developers with the ability to easily create and deploy high performance process-based applications.
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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 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.
WHITE PAPER:
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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Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
