Sciweavers

12 search results - page 1 / 3
» Clydesdale: structured data processing on MapReduce
Sort
View
111
Voted
EDBT
2012
ACM
306views Database» more  EDBT 2012»
13 years 14 days 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
14 years 8 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»
14 years 8 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
14 years 10 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»
14 years 10 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...