Dremel: interactive analysis of web-scale datasets
S. Melnik, A. Gubarev, J. Long, G. Romer, S. Shivakumar, M. Tolton, und T. Vassilakis.
Proceedings of the VLDB Endowment 3 (1-2): 330--339 (September 2010)

Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.

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http://dl.acm.org/citation.cfm?id=1920841.1920886

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@article{melnik2010dremel,
  abstract = {Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.},
  acmid = {1920886},
  added-at = {2012-09-26T16:47:43.000+0200},
  author = {Melnik, Sergey and Gubarev, Andrey and Long, Jing Jing and Romer, Geoffrey and Shivakumar, Shiva and Tolton, Matt and Vassilakis, Theo},
  biburl = {https://puma.uni-kassel.de/bibtex/25dae1fdc088eb801ef7663d3b35120ed/jaeschke},
  interhash = {43835c06736099c3ebc4aaa1c9d38dbb},
  intrahash = {5dae1fdc088eb801ef7663d3b35120ed},
  issn = {2150-8097},
  issue_date = {September 2010},
  journal = {Proceedings of the VLDB Endowment},
  keywords = {analysis dremel google interactive search web},
  month = sep,
  number = {1-2},
  numpages = {10},
  pages = {330--339},
  publisher = {VLDB Endowment},
  timestamp = {2012-09-26T16:48:24.000+0200},
  title = {Dremel: interactive analysis of web-scale datasets},
  url = {http://dl.acm.org/citation.cfm?id=1920841.1920886},
  volume = 3,
  year = 2010
}

%0 Journal Article
%1 melnik2010dremel
%A Melnik, Sergey
%A Gubarev, Andrey
%A Long, Jing Jing
%A Romer, Geoffrey
%A Shivakumar, Shiva
%A Tolton, Matt
%A Vassilakis, Theo
%D 2010
%I VLDB Endowment
%J Proceedings of the VLDB Endowment
%K analysis dremel google interactive search web
%N 1-2
%P 330--339
%T Dremel: interactive analysis of web-scale datasets
%U http://dl.acm.org/citation.cfm?id=1920841.1920886
%V 3
%X Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.

PUMA

Dremel: interactive analysis of web-scale datasets
S. Melnik, A. Gubarev, J. Long, G. Romer, S. Shivakumar, M. Tolton, und T. Vassilakis.
Proceedings of the VLDB Endowment 3 (1-2): 330--339 (September 2010)

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PUMA

Dremel: interactive analysis of web-scale datasetsS. Melnik, A. Gubarev, J. Long, G. Romer, S. Shivakumar, M. Tolton, und T. Vassilakis. Proceedings of the VLDB Endowment 3 (1-2): 330--339 (September 2010)

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Dremel: interactive analysis of web-scale datasets
S. Melnik, A. Gubarev, J. Long, G. Romer, S. Shivakumar, M. Tolton, und T. Vassilakis.
Proceedings of the VLDB Endowment 3 (1-2): 330--339 (September 2010)