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» Experiences on Processing Spatial Data with MapReduce
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66
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SSDBM
2009
IEEE
81views Database» more  SSDBM 2009»
15 years 5 months ago
Experiences on Processing Spatial Data with MapReduce
Ariel Cary, Zhengguo Sun, Vagelis Hristidis, Napht...
115
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OSDI
2004
ACM
15 years 11 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
105
Voted
SIGMOD
2011
ACM
248views Database» more  SIGMOD 2011»
14 years 1 months ago
Llama: leveraging columnar storage for scalable join processing in the MapReduce framework
To achieve high reliability and scalability, most large-scale data warehouse systems have adopted the cluster-based architecture. In this paper, we propose the design of a new clu...
Yuting Lin, Divyakant Agrawal, Chun Chen, Beng Chi...
105
Voted
CLOUDCOM
2010
Springer
14 years 8 months ago
Voronoi-Based Geospatial Query Processing with MapReduce
Geospatial queries (GQ) have been used in a wide variety of applications such as decision support systems, profile-based marketing, bioinformatics and GIS. Most of the existing qu...
Afsin Akdogan, Ugur Demiryurek, Farnoush Banaei Ka...
126
Voted
SIGMOD
2011
ACM
299views Database» more  SIGMOD 2011»
14 years 1 months ago
Processing theta-joins using MapReduce
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Alper Okcan, Mirek Riedewald