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Making big data small
Big data analytics is often prohibitively costly and is typically conducted by parallel processing with a cluster of machines. Is big data analytics beyond the reach of small companies that can only afford limited resources? This paper tackles this question by presenting Boundedly EvAlable SQL (BEAS...
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| I publikationen: | Proc Math Phys Eng Sci |
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| Huvudupphovsman: | |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
The Royal Society Publishing
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6545042/ https://ncbi.nlm.nih.gov/pubmed/31236056 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0034 |
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