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The monte carlo database system
2011
ACM Transactions on Database Systems
The application of stochastic models and analysis techniques to large datasets is now commonplace. Unfortunately, in practice this usually means extracting data from a database system into an external tool (such as SAS, R, Arena, or Matlab), and then running the analysis there. This extract-and-model paradigm is typically error-prone, slow, does not support fine-grained modeling, and discourages what-if and sensitivity analyses. In this article we describe MCDB, a database system that permits a
doi:10.1145/2000824.2000828
fatcat:hgnsueousrdszghvuaa3k4utpa