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Optimize with a SATA RAID Storage Solution
Range of capacities as low as $1250 per TB. Ideal if you currently rely on servers/disks/JBODs
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The right tool for the job
Clearly, the role of the queryable archive is natural for data-at-rest platforms such asHadoop. But the same could be said for various NoSQL platforms if they've been architected for scale and speed on archiving particular types of data. Likewise, don't count out your RDBMS
for queryable archiving of structured data.
Depending on your requirements, you might deploy one or multiple archives for different big data sets, with different underlying platforms optimized for each. Whatever you decide to do, the key criterion is whether your big data platform(s), deployed as archives, support fast execution of all the expected types of queries that might be performed against all the data stored and managed there.
This article, "Finding gems in big data archives," was originally published atInfoWorld.com. For the latest business technology news, follow InfoWorld on Twitter.