Proceedings of the VLDB Endowment · 2009 · 1.5K citations · 2 references
ComputingComputer ScienceComputer SystemsFault ToleranceFault-tolerant ComputingFault-tolerant SystemsFault Tolerance In Parallel SystemsHardware Fault ToleranceShared-memory MultiprocessingShared-memory ParallelismContainmentFault ContainmentFault Tolerance In MultiprocessorsShared Memory ManagementShared Memory Multiprocessors
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop [3] is a popular open-source map-reduce implementation which is being used as an alternative to store and process extremely large data sets on commodity hardware. However, the map-reduce programming model is very low level and requires developers to write custom programs which are hard to maintain and reuse.
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A comparison of approaches to large-scale data analysis
Andrew Pavlo, Erik K. Paulson, Alexander Rasin et al. · 2009 · 1.1K citations
Ronnie Chaiken, B. Keith Jenkins, Per-Åke Larson et al. · Proceedings of the VLDB Endowment · 2008 · 731 citations