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Deductive Data Warehouses and Aggregate (Derived) Tables (CROSBI ID 620204)

Prilog sa skupa u zborniku | ostalo | međunarodna recenzija

Rabuzin, Kornelije ; Maleković, Mirko ; Čubrilo, Mirko Deductive Data Warehouses and Aggregate (Derived) Tables // Proceedings of the Ninth International Multi-Conference on Computing in the Global Information Technology. 2014. str. 72-77

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

Povezanost rada

Informacijske i komunikacijske znanosti