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» MapReduce Programming Model for .NET-Based Cloud Computing
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CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 6 months ago
Parallel Sorted Neighborhood Blocking with MapReduce
: Cloud infrastructures enable the efficient parallel execution of data-intensive tasks such as entity resolution on large datasets. We investigate challenges and possible solution...
Lars Kolb, Andreas Thor, Erhard Rahm
PVLDB
2010
179views more  PVLDB 2010»
13 years 4 months ago
MRShare: Sharing Across Multiple Queries in MapReduce
Large-scale data analysis lies in the core of modern enterprises and scientific research. With the emergence of cloud computing, the use of an analytical query processing infrast...
Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra...
SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
12 years 9 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
SCP
2008
150views more  SCP 2008»
13 years 6 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel
EMNLP
2008
13 years 7 months ago
Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
Jimmy J. Lin