The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. <i>Hadoop</i> 3 is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hardware. However, the map-reduce programming model is very low level and requires developers to write custom programs which are hard to maintain and reuse.
%0 Journal Article
%1 thusoo2009warehousing
%A Thusoo, Ashish
%A Sarma, Joydeep Sen
%A Jain, Namit
%A Shao, Zheng
%A Chakka, Prasad
%A Anthony, Suresh
%A Liu, Hao
%A Wyckoff, Pete
%A Murthy, Raghotham
%D 2009
%I VLDB Endowment
%J Proc. VLDB Endow.
%K hive references
%N 2
%P 1626--1629
%T Hive: a warehousing solution over a map-reduce framework
%U http://dl.acm.org/citation.cfm?id=1687553.1687609
%V 2
%X The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. <i>Hadoop</i> 3 is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hardware. However, the map-reduce programming model is very low level and requires developers to write custom programs which are hard to maintain and reuse.
@article{thusoo2009warehousing,
abstract = {The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. <i>Hadoop</i> [3] is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hardware. However, the map-reduce programming model is very low level and requires developers to write custom programs which are hard to maintain and reuse.},
acmid = {1687609},
added-at = {2013-02-15T10:31:24.000+0100},
author = {Thusoo, Ashish and Sarma, Joydeep Sen and Jain, Namit and Shao, Zheng and Chakka, Prasad and Anthony, Suresh and Liu, Hao and Wyckoff, Pete and Murthy, Raghotham},
biburl = {https://www.bibsonomy.org/bibtex/24bf2b684d1d79ff18ecfc8d2d781377c/dbenz},
description = {Hive},
interhash = {f3bc05e853e54cdd51443cdabc7f5aeb},
intrahash = {4bf2b684d1d79ff18ecfc8d2d781377c},
issn = {2150-8097},
issue_date = {August 2009},
journal = {Proc. VLDB Endow.},
keywords = {hive references},
month = aug,
number = 2,
numpages = {4},
pages = {1626--1629},
publisher = {VLDB Endowment},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Hive: a warehousing solution over a map-reduce framework},
url = {http://dl.acm.org/citation.cfm?id=1687553.1687609},
volume = 2,
year = 2009
}