Access "Storage for big data"
This article is part of the Vol. 11 Num. 2 April 2012 issue of Best practices for cloud backup integration
Big data analytics will place new burdens on data storage systems. Here are some of the key features those systems will need to meet the challenges of big data. "Big data" refers to data sets that are too large to be captured, handled, analyzed or stored in an appropriate timeframe using traditional infrastructures. Big is, of course, a term relative to the size of the organization and, more importantly, to the scope of the IT infrastructure that’s in place. Big data also infers analysis, driven by the expectation that there’s value in all the information businesses are accumulating -- if there was just a way to pull that value out. Perhaps it follows from the notion that storage capacity is cheap, but in the effort to cull business intelligence from the mountains of new data created every day, organizations are saving more of it. They’re also saving data that’s already been analyzed, which could potentially be used for trending against future data collections. @pb Why big, why now? Aside from the ability to keep more data than ever before, we have access to... Access >>>
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Integrated cloud backup
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Storage for big data
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Big data analytics will place new burdens on data storage systems. Here are some of the key features those systems will need to meet the challenges of big data.
- Companies still rely on good ol’ NAS by Rich Castagna
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The impact of the flooding in Thailand on the disk drive supply chain was certainly real, but it looks like disk makers are spinning tales about shortages to justify price hikes.
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The oldest cloud storage services have matured into a variety of data protection offerings that can meet the needs of most enterprises. But there are key points to keep in mind.
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- A decade of progress; or are we standing still? by Rich Castagna
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