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===Featured Case Study===
===Featured Case Study===
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==[[Financial giant goes green]]==
==[[Financial giant goes green]]==
<p style="color: #666;">The corporate IT group of a very large, worldwide financial organization with 100,000 employees, has initiated an ongoing “greening” process. This is focused largely on reducing energy use both to decrease the corporation's carbon footprint while creating a net savings in operational costs over the lifetime of new, more energy-efficient equipment, including new storage systems. This effort is not viewed by the IT administration as a one-time project but rather as a perpetual process of evaluating new technology in part on its energy efficiency and introducing it into the corporate data centers to replace aging systems as appropriate. </p>
<p style="color: #666;">The corporate IT group of a very large, worldwide financial organization with 100,000 employees, has initiated an ongoing “greening” process. This is focused largely on reducing energy use both to decrease the corporation's carbon footprint while creating a net savings in operational costs over the lifetime of new, more energy-efficient equipment, including new storage systems. This effort is not viewed by the IT administration as a one-time project but rather as a perpetual process of evaluating new technology in part on its energy efficiency and introducing it into the corporate data centers to replace aging systems as appropriate. </p>

Revision as of 21:29, 30 December 2008


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Wikitip

Stop relying solely on age-based classification criteria

IT organizations must break with the past and make business process, not age of data sets the defining catalyst for data classification schema. This approach will not scale without auto-classification capabilities that assign meta-data to data sets at the point of creation or use. Emerging tagging methodologies borrowed from social networking may provide a complementary user-driven approach, but these will not suffice for compliance and legal requirements.

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Featured Case Study

Financial giant goes green

The corporate IT group of a very large, worldwide financial organization with 100,000 employees, has initiated an ongoing “greening” process. This is focused largely on reducing energy use both to decrease the corporation's carbon footprint while creating a net savings in operational costs over the lifetime of new, more energy-efficient equipment, including new storage systems. This effort is not viewed by the IT administration as a one-time project but rather as a perpetual process of evaluating new technology in part on its energy efficiency and introducing it into the corporate data centers to replace aging systems as appropriate.

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Storage Professional Alerts


Featured How-To Note

Storage Virtualization Design and Deployment

A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center.

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