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» Clydesdale: structured data processing on MapReduce
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EDBT
2012
ACM
306views Database» more  EDBT 2012»
11 years 7 months ago
Clydesdale: structured data processing on MapReduce
MapReduce has emerged as a promising architecture for large scale data analytics on commodity clusters. The rapid adoption of Hive, a SQL-like data processing language on Hadoop (...
Tim Kaldewey, Eugene J. Shekita, Sandeep Tata
ICPADS
2010
IEEE
13 years 2 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
PVLDB
2010
204views more  PVLDB 2010»
13 years 2 months ago
Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
Songting Chen
HPDC
2010
IEEE
13 years 4 months ago
Parallel processing of data from very large-scale wireless sensor networks
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
Christine Jardak, Janne Riihijärvi, Frank Old...
SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
13 years 4 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...