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SQL / Normal distribution / Query optimizer / Sample size determination / Partition / Stratified sampling / Standard error / Sample / Query plan / Statistics / Sampling / Database management systems


BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data Sameer Agarwal† , Barzan Mozafari○ , Aurojit Panda† , Henry Milner† , Samuel Madden○ , Ion Stoica∗† ○ ∗ †University o
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Document Date: 2013-03-28 09:21:55

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City

Galena / Prague / =(City / New York / /

Company

Facebook Inc. / Amazon / BlinkDB / Microsoft Corp. / Conviva Inc. / T. / Twitter / Bounded Response Times / /

Currency

USD / /

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Facility

Berkeley Massachusetts Institute of Technology Conviva Inc. / University of California / /

IndustryTerm

media accesses / video site / randomized algorithms / query processing / approximate query solutions / web clicks / video distribution / real-time response rates / optimization-based sampling systems / online aggregation / parallel query processing framework / designated media area / data analytics applications / query processor / online sample selection / sample / social networks / imperfect solution / approximate query processing system / Internet users / on-line aggregation / query processing system / online transactions / /

Organization

University of California / Berkeley / Massachusetts Institute of Technology / Institute of Technology Conviva Inc. / /

Person

Henry Milner / Samuel Madden / Ion Stoica / /

Position

representative / /

Product

M-16 / Panda / B52 / QCSs / /

ProgrammingLanguage

SQL / K / /

ProvinceOrState

Manitoba / Illinois / /

Technology

OLAP / RAM / following algorithm / query processor / caching / /

URL

http /

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