Title :
Enhanced rough SQL for correlated subqueries
Author :
Kowalski, Matthieu ; Slezak, Dominik ; Synak, Piotr
Author_Institution :
Inst. of Math., Univ. of Warsaw, Warsaw, Poland
Abstract :
We discuss some enhancements of approximate SQL extensions available in Infobright´s database technology. We explain how these new enhancements can speed up execution of complex correlated sub-queries, which are quite popular in advanced database applications. We compare our research to the state-of-the-art solutions in the area of analytic databases. We also show in what sense our technology follows the principles of rough sets and granular computing.
Keywords :
SQL; database management systems; granular computing; query processing; rough set theory; Infobright´s database technology; advanced database applications; analytic databases; approximate SQL extension; complex correlated subqueries; enhanced rough SQL; granular computing; rough sets; Approximation methods; Databases; Engines; Information systems; Optimization; Rough sets; Standards; Analytic Databases; Approximate SQL; Correlated Subqueries; Data Granulation;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
Conference_Location :
Krako??w
