A platform for scalable one-pass analytics using MapReduce

@inproceedings{Li2011APF,
  title={A platform for scalable one-pass analytics using MapReduce},
  author={Boduo Li and Edward Mazur and Yanlei Diao and Andrew McGregor and Prashant J. Shenoy},
  booktitle={SIGMOD Conference},
  year={2011}
}
Today's one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programming model for processing large datasets using a cluster of machines. However, the traditional MapReduce model is not well-suited for one-pass analytics, since it is geared towards batch processing and requires the data set to be fully loaded into the cluster before running analytical queries. This paper examines, from a… CONTINUE READING

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