Naslov
Deductive Data Warehouses and Aggregate (Derived) Tables

Autori
Rabuzin, Kornelije ; Maleković, Mirko ; Čubrilo, Mirko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
Proceedings of the Ninth International Multi-Conference on Computing in the Global Information Technology / - , 2014, 72-77

ISBN
978-1-61208-346-9

Skup
The Ninth International Multi-Conference on Computing in the Global Information Technology

Mjesto i datum
Sevilla, Španjolska, 22.06.2014. - 26.06.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data warehouse; deductive data warehouse; Datalog; aggregate tables; derived tables; data mart

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

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