Active data warehouse: Review, challenges and issues

Author

Hajlaoui, Jalel Eddine ; Hamdani, Nesrine

Author_Institution

Lab. of MIRACL FSEG, Univ. of Sfax-Tunisia, Sfax, Tunisia

fYear

2014

fDate

18-20 Jan. 2014

Firstpage

1

Lastpage

6

Abstract

The conventional data warehouse (DW) is dedicated to storage historical data. It is not outfitted with automatic analysis mechanisms and cannot offer dynamic OLAP reporting. Repetitive analytical requirements of decision-makers could be formalized and stored into the decision system as analysis scenarios regarding events, conditions and action rules. In this way, reactive analytic capabilities of the DW against events occurring are empowered. In this paper, we overview the state of the art for the active DW field and we address a further issue towards the automation of these analyses. More precisely, we envisage a reusable solution relying on designing patterns for repetitive OLAP scenarios. It is for assisting decision-makers not starting from scratch facing a well-known decisional problem.

Keywords

data mining; data warehouses; decision making; active data warehouse; automatic analysis mechanisms; decision system; decision-makers; dynamic OLAP reporting; historical data storage; reactive analytic capabilities; repetitive OLAP; repetitive analytical requirements; Analytical models; Business; Data warehouses; Databases; Real-time systems; Vehicles; XML; Active data warehouse; Analysis Rule; OLAP analysis pattern; OLAP analysis scenario;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Applications & Research (WSCAR), 2014 World Symposium on

Conference_Location

Sousse

Print_ISBN

978-1-4799-2805-7

Type

conf

DOI

10.1109/WSCAR.2014.6916824

Filename

6916824