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| + | '''Latest Peer Incite Research:''' | ||
| + | *[[Information Management Meets Compliance]] | ||
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| + | * [[Billions and billions of files are the data challenge at Caltech|Billions and billions of files are the data challenge at Caltech]] | ||
| - | + | *[[Pitfalls of compressing online storage |Pitfalls of Compressing On-line Storage]] | |
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<p style="color: #666;">Fluctuating energy prices have heightened electricity and energy consumption as a major issue within the technology community. IT is a significant consumer of energy and IT energy costs have been rising disproportionately because of continued investment in denser IT equipment. Estimates from the EPA and others indicate that IT will account for 3% of energy consumption by 2012.</p> | <p style="color: #666;">Fluctuating energy prices have heightened electricity and energy consumption as a major issue within the technology community. IT is a significant consumer of energy and IT energy costs have been rising disproportionately because of continued investment in denser IT equipment. Estimates from the EPA and others indicate that IT will account for 3% of energy consumption by 2012.</p> | ||
[[Planning a green storage initiative | read more...]] | [[Planning a green storage initiative | read more...]] | ||
| - | |}[[Category: | + | |}[[Category:3PAR]][[Category: Archiving]][[Category: Backup and restore]][[Category: Blade computing]][[Category: Budgets]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]] |
Current revision as of 02:48, 1 October 2009
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WikitipClassify data to define storage tiersClassifying data is becoming a critical IT activity for the purposes of implementing the optimal data solution to store, tier and protect data throughout its lifetime. Developing a data classification methodology for a business involves establishing criteria for classes of data or application based on its value to the business. Four distinct levels of classifying data or applications are commonly used:
Determining these levels takes some cooperative effort within the business and when completed, enables the most cost-effective storage and data protection solutions to be implemented. Data classification levels also identify which backup and recovery or business resumption solution is best suited for each level to meet the RPO (Recovery Point Objective) and RTO (Recovery Time Objective) requirements. While very important, RTO & RPO are not the only parameters used to classify data. Other considerations include availability, length of data retention, service levels and performance requirements, and overall costs. The figure below illustrates an effective data classification model. Defining and communicating these levels is a first step to tiered storage success. |
Featured Case Study
Financial giant goes greenThe 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. |
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Featured How-To Note |
Planning a Green Storage InitiativeFluctuating energy prices have heightened electricity and energy consumption as a major issue within the technology community. IT is a significant consumer of energy and IT energy costs have been rising disproportionately because of continued investment in denser IT equipment. Estimates from the EPA and others indicate that IT will account for 3% of energy consumption by 2012. | |||
