Portal:Storage

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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'''
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* [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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==[[Virtualization Energizes Cal State University]]==
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<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>
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==[[Storage virtualization design and deployment|Storage Virtualization Design and Deployment]]==
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<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.
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[[Storage virtualization design and deployment | read more...]]
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|}[[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]]
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Welcome to the Storage Wiki. Estimates vary but it’s well documented that spending on storage hardware, software and services exceeds $50B worldwide each year. Storage has always been and continues to be a critical component of the information infrastructure as data and information are the lifeblood of organizations.  
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The objective of this wiki is to provide information that fosters excellence in storage practices and leads various user communities to improve people’s lives, both in business and consumer settings. Ultimately, we hope to accelerate the adoption of and improve the application of storage technologies and services.  
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To accomplish this goal we’re focusing on four disciplines:
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# [[Storage strategy and planning]] to include the planning, justfication and roadmap for enterprise storage architecture
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# Best practices for [[storage management]], an ongoing discipline of adhering to clearly defined processes and procedures
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# The application of key [[storage technology]]
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# Solid [[asset management]] programs that address pricing, negotiation, contract management, license management and terms and conditions across the supplier ecosystem
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This wiki is designed to address these and other issues deemed relevant and noteworthy by this storage community. We encourage contributions that address:
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# What is the problem faced by a manager or storage professional?
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# What are the options available to solve that problem (technologies & practices)?
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# What are the pros & cons of different solutions?  What other solutions may be available in the future?
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# How should the best solution be selected and justified for a given scenario?
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# How can the solution be implemented and managed?
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# What are examples of best practice, and what resources were needed to achieve it?
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Please feel free to add new articles or edit existing ones as you see fit. Try to help professionals get more business value out of storage products and services and help consumers enrich their lives through the better application of technology.
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You can start by checking out the [[storage index]] page.
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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


>>Join our Group >>Become a Fan >>Follow @Wikibon >>Read the Blog

Wikitip

EDiscovery Pricing Estimation

OrangeLT™’s Predictive Pricing Estimator is an online predictive pricing estimation tool designed to help law firms, corporations, and governmental agencies estimate, compare, and evaluate the monetary costs associated with the use of analytics, processing, and review services in the conduct of electronic discovery. Using a combination of industry-accepted volume and cost parameters, the Predictive Pricing Estimator allows users to enter estimates for both the volume of data and potential reviewers available and to see how these estimates influence data reduction and review costs throughout the electronic discovery stages of analytics, processing, and review.

How can organizations use the estimator to engage with OrangeLT™?

While Predictive Pricing Estimator results are not legally binding estimates, organizations can use the calculated results of estimations to help develop Request for Proposals (RFPs) and Statement of Work (SOW) documents that may be used in developing and implementing their electronic discovery project plans.

How can users access the Predictive Pricing Estimator?

To access the Predictive Pricing Estimator, simply visit: OrangeLT

Action Item: eDiscovery is a volume-driven activity-- more volume equals higher costs. Typically reactive approaches to legal edicts are executed without a clear eye on costs. This approach is unsustainable as volumes grow unabated. Tools such as the Predictive Pricing Estimator can help ease the near-term pain. Longer term, however, users must develop information management architectures that deal with the root problem, namely shoving all data in a central archive with limited classification capabilities that is a dead end.

Footnotes:

View Another Wikitip

Featured Case Study

Virtualization Energizes Cal State University

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.

read more...

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.

read more...

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