Experiences with Approximating Queries in Microsoft's Production Big-Data Clusters

Kukjin Lee
Kukjin Lee
Marc Friedman
Marc Friedman

very large data bases, pp. 2131-2142, 2019.

被引用2|引用|浏览72|DOI:https://doi.org/10.14778/3352063.3352130
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其它链接dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

摘要

With the rapidly growing volume of data, it is more attractive than ever to leverage approximations to answer analytic queries. Sampling is a powerful technique which has been studied extensively from the point of view of facilitating approximation. Yet, there has been no large-scale study of effectiveness of sampling techniques in big da...更多

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