Reduce, You Say: What NoSQL Can Do for Data Aggregation and BI in Large Repositories

@article{Bonnet2011ReduceYS,
  title={Reduce, You Say: What NoSQL Can Do for Data Aggregation and BI in Large Repositories},
  author={Laurent Bonnet and Anne Laurent and Michel Sala and B{\'e}n{\'e}dicte Laurent and Nicolas Sicard},
  journal={2011 22nd International Workshop on Database and Expert Systems Applications},
  year={2011},
  pages={483-488}
}
Data aggregation is one of the key features used in databases, especially for Business Intelligence (e.g., ETL, OLAP) and analytics/data mining. When considering SQL databases, aggregation is used to prepare and visualize data for deeper analyses. However, these operations are often impossible on very large volumes of data regarding memory-and-time-consumption. In this paper, we show how NoSQL databases such as MongoDB and its key-value stores, thanks to the native MapReduce algorithm, can… CONTINUE READING
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