Deductive Data Warehouses and Aggregate (Derived) Tables (CROSBI ID 620204)
Prilog sa skupa u zborniku | ostalo | međunarodna recenzija
Podaci o odgovornosti
Rabuzin, Kornelije ; Maleković, Mirko ; Čubrilo, Mirko
engleski
Deductive Data Warehouses and Aggregate (Derived) Tables
In one of our previous papers, the idea of deductive data warehouses has been introduced. It was shown how to use Datalog rules to perform Online Analytical Processing (OLAP) analysis on data. In this paper, we show how to use Datalog rules to specify the data warehouse model (data mart) as well as how to add rules that produce aggregate and derived tables that are normally used to speed up the process of retrieving data. Since it is good to have aggregate and derived tables (to speed up queries), the main drawback is that they require extra storage. Consequently implicit definition of such tables may seem interesting.
data warehouse; deductive data warehouse; Datalog; aggregate tables; derived tables; data mart
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Podaci o prilogu
72-77.
2014.
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objavljeno
978-1-61208-346-9
Podaci o matičnoj publikaciji
Proceedings of the Ninth International Multi-Conference on Computing in the Global Information Technology
Podaci o skupu
The Ninth International Multi-Conference on Computing in the Global Information Technology
predavanje
22.06.2014-26.06.2014
Sevilla, Španjolska