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In a recent survey conducted on 2000 IT professionals, 91% of those that responded expect that the cloud will replace traditional on-premise computing within the next five years.This essential resource introduces a comprehensive portfolio of products and services for building and managing your cloud solutions.
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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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Due to recent technological advances such as cloud, virtualization, big data and converged infrastructures, the data center is evolving. Read through this informational white paper to learn how companies are focusing their resources their data center infrastructure management solutions.
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This white paper outlines five things you need to know before developing an email management solution. It also seeks to dispel myths about SharePoint and Exchange.
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Optimizing the benefits of a data grid built with Oracle Coherence relies upon creating a modular, balanced architecture. Matching the number of application servers, memory capacity, and quantity of processing nodes to the target workload characteristics is important to achieving the best performance.
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This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
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When planning for cloud adoption, there are many factors you must consider. This white paper discusses the strategy one of your peers is utilizing for a successful cloud migration. Discover key components to consider during the move and gain insights on how to ensure a smooth transition.
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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.
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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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By providing a common architecture for the 100 MS/s mixed-signal prototyping a test suite of instruments, the SMC enables the instruments to test systems where digital and analog signals are side by side.
