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pro vyhledávání: '"David C. Sharpe"'
Autor:
Gopi K. Attaluri, Naresh K. Chainani, Vijayshankar Raman, Guy M. Lohman, Ippokratis Pandis, Richard S. Sidle, Ronald J. Barber, Sam Lightstone, David C. Sharpe
Publikováno v:
Proceedings of the VLDB Endowment. 8:353-364
We present new hash tables for joins, and a hash join based on them, that consumes far less memory and is usually faster than recently published in-memory joins. Our hash join is not restricted to outer tables that fit wholly in memory. Key to this h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccd7eb1a0e08bba1dc040dbe630cc77a
https://doi.org/10.14778/2735496.2735499
https://doi.org/10.14778/2735496.2735499
Autor:
Vijayshankar Raman, Shaorong Liu, Ronald J. Barber, Liping Zhang, Adam J. Storm, Jens Leenstra, David Kalmuk, Rene Mueller, Berni Schiefer, Tim Malkemus, Sam Lightstone, Ippokratis Pandis, David C. Sharpe, Vincent Kulandaisamy, Richard S. Sidle, Gopi K. Attaluri, Guy M. Lohman, Naresh K. Chainani
Publikováno v:
Proceedings of the VLDB Endowment. 6:1080-1091
DB2 with BLU Acceleration deeply integrates innovative new techniques for defining and processing column-organized tables that speed read-mostly Business Intelligence queries by 10 to 50 times and improve compression by 3 to 10 times, compared to tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9b013b482b8a89cd9553d4900582e8
https://doi.org/10.14778/2536222.2536233
https://doi.org/10.14778/2536222.2536233
Autor:
David C. Sharpe, Andrew J. McAllister
Publikováno v:
Software: Practice and Experience. 28:125-154
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83fe1e9eef0372934173d9ae76c985a4
https://doi.org/10.1002/(sici)1097-024x(199802)28:2<125::aid-spe146>3.0.co
https://doi.org/10.1002/(sici)1097-024x(199802)28:2<125::aid-spe146>3.0.co
Autor:
David C. Sharpe
Publikováno v:
Applied Economics Letters. 4:415-418
In this article we group together and compare economic forecasts by industry type. That is, corporate forecasts of GDP and CPI are compiled by industry for the following: financial institutions, economic consultants, auto manufacturers, business asso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e19eda812367c7f0655e7e0366d2cda4
https://doi.org/10.1080/135048597355177
https://doi.org/10.1080/135048597355177
Periodical
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