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'''Latest Peer Incite Research:''' | '''Latest Peer Incite Research:''' | ||
| - | * | + | *[[Information Management Meets Compliance]] |
| - | * | + | *[[CIO's: Beware the records management trap]] |
'''Wikibon Highlights:''' | '''Wikibon Highlights:''' | ||
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'''NEW Wikibon Research:''' | '''NEW Wikibon Research:''' | ||
| - | * | + | * [[Billions and billions of files are the data challenge at Caltech|Billions and billions of files are the data challenge at Caltech]] |
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| + | *[[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:3PAR]][[Category: Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage | + | |}[[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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WikitipOperational Data ScienceTeam with diversity can work together for an enterprise to deliver Data Science workflow. 1. Person(s) with strong business acumen with Visualization skills. 2. Data Integration Engineer(s) with ETL skills on structured and unstructured data 3. Statistician with R skills 4. Smart programmer with Predictive modeling skills. Interestingly, there is no right and specific order of delivery from these people. Having said that the person who has strong business background can work at both the ends of a shore i.e. in data discovery as well as in communicating the final result (either in terms of prediction or pattern or summarization). However, programmers can pretty much independently work in all areas of data preparation, data analysis and scripting to build datasets for modeling. In a same way, statistician can very much communicate the business result and reflection. Now after all these efforts what left is just a game of effective collaboration. Moreover, along with the right collaboration channel there should be a Data scientist(s) who can watch over and architect the whole work flow and should always be ready to design+code+test the prototype of the end product. So, this whole Operation Data Science need a collaborative team and an architect(s) with diverse skills. Read complete study on: http://datumengineering.wordpress.com/ |
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. | |||
