Tajo: A distributed data warehouse system on large clusters


The increasing volumes of relational data let us find an alternative to cope with them. Recently, several hybrid approaches (e.g., HadoopDB and Hive) between parallel databases and Hadoop have been introduced to the database community. Although these hybrid approaches have gained wide popularity, they cannot avoid the choice of suboptimal execution… (More)
DOI: 10.1109/ICDE.2013.6544934


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@article{Choi2013TajoAD, title={Tajo: A distributed data warehouse system on large clusters}, author={Hyunsik Choi and Jihoon Son and Haemi Yang and Hyoseok Ryu and Byungnam Lim and Soohyung Kim and Yon Dohn Chung}, journal={2013 IEEE 29th International Conference on Data Engineering (ICDE)}, year={2013}, pages={1320-1323} }