Eagle-eyed elephant: split-oriented indexing in Hadoop

@inproceedings{Eltabakh2013EagleeyedES,
  title={Eagle-eyed elephant: split-oriented indexing in Hadoop},
  author={Mohamed Y. Eltabakh and Fatma {\"O}zcan and Yannis Sismanis and Peter J. Haas and Hamid Pirahesh and Jan Vondr{\'a}k},
  booktitle={EDBT},
  year={2013}
}
An increasingly important analytics scenario for Hadoop involves multiple (often ad hoc) grouping and aggregation queries with selection predicates over a slowly changing dataset. These queries are typically expressed via high-level query languages such as Jaql, Pig, and Hive, and are used either directly for business-intelligence applications or to prepare the data for statistical model building and machine learning. In such scenarios it has been increasingly recognized that, as in classical… CONTINUE READING
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