Portal:Storage
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| - | + | <meta name="description" content="The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles." /> | |
| - | < | + | <meta name="title" content="Data Storage Technology Research: Data Storage Portal" /> |
| - | + | The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles. | |
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| - | + | '''Latest Information Storage Research''' | |
| - | + | * [http://wikibon.org/wiki/v/Storage_Facts%2C_Figures%2C_Best_Practices%2C_and_Estimates Storage Facts, Figures, Best Practices, and Estimates] | |
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| - | + | ===Featured Case Study=== | |
| - | + | [[Image:Student_union.jpg|250px]] | |
| - | + | ==[[Virtualization Energizes Cal State University]]== | |
| - | + | <p style="color: #666;">John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years. </p> | |
| - | < | + | [[Virtualization Energizes Cal State University | read more...]] |
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| - | + | {{Storage professional alerts 2}} | |
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| - | + | ===Featured How-To Note=== | |
| - | + | [[Image:Storage_virtualization.jpg|left|250px]] | |
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| - | + | ==[[Storage virtualization design and deployment|Storage Virtualization Design and Deployment]]== | |
| + | <p style="color: #666;">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. | ||
| + | </p> | ||
| + | [[Storage virtualization design and deployment | read more...]] | ||
| + | |}[[Category:Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]][[Category: Compliance and discovery]][[Category: Enterprise mobile wikitips]] | ||
Current revision as of 00:18, 23 February 2010
The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.
Latest Information Storage Research
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| >>Join our Group | >>Become a Fan | >>Follow @Wikibon | >>Read the Blog | ||||||||||||||||||||
WikitipPortal:Data Protection
The Wikibon Data Protection Information Portal contains data protection industry research, articles, expert opinion, case studies, and data storage company profiles. Check out these Peer Incite Podcasts related to Data Protection: 1. Dave Vellante summarizes Eric Peterson of SaskEnergy's discussion about the organization's implementation of Tivoli Storage Manager (TSM) and an incremental forever backup strategy (8:36)
Action Item: Footnotes: |
Featured Case Study
Virtualization Energizes Cal State UniversityJohn Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years. |
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Featured How-To Note |
Storage Virtualization Design and DeploymentA 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. | |||||||||||||||||||
