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Clydesdale
2012
Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12
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 (an open source implementation of MapReduce), shows the increasing importance of processing structured data on MapReduce platforms. MapReduce offers several attractive properties such as the use of low-cost hardware, fault-tolerance, scalability, and elasticity. However, these advantages have required a substantial
doi:10.1145/2247596.2247600
dblp:conf/edbt/KaldeweyST12
fatcat:lovj3vh7t5ftdg3ksnncfup2gm