Business Analytics in (a) Blink

@article{Barber2012BusinessAI,
  title={Business Analytics in (a) Blink},
  author={Ronald Barber and Peter Bendel and Marco Czech and Oliver Draese and Frederick Ka Wing Ho and Namik Hrle and Stratos Idreos and Min-Soo Kim and Oliver Koeth and Jae-Gil Lee and Tianchao Li and Guy M. Lohman and Konstantinos Morfonios and Ren{\'e} M{\"u}ller and Keshava Murthy and Ippokratis Pandis and Lin Qiao and Vijayshankar Raman and Richard Sidle and Knut Stolze and Sandor Szabo},
  journal={IEEE Data Eng. Bull.},
  year={2012},
  volume={35},
  pages={9-14}
}
The Blink project’s ambitious goal is to answer all Business Intelligence (BI) queries in mere seconds, regardless of the database size, with an extremely low total cost of ownership. Blink is a new DBMS aimed primarily at read-mostly BI query processing that exploits scale-out of commodity multi-core processors and cheap DRAM to retain a (copy of a) data mart completely in main memory. Additionally, it exploits proprietary compression technology and cache-conscious algorithms that reduce… CONTINUE READING
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