A Survey of Open Source Tools for Business Intelligence

被引：16

作者：

Thomsen, Christian ^{[1
]}

Pedersen, Torben Bach ^{[1
]}

机构：

[1] Aalborg Univ, Ctr Data Intens Syst, Dept Comp Sci, Aalborg, Denmark

来源：

INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING | 2009年 / 5卷 / 03期

关键词：

Business Intelligence (BI); Data Warehousing (DW); Extract-Transform-Load (ETL); On-Line Analytical Processing (OLAP); Open Source;

D O I：

10.4018/jdwm.2009070103

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The industrial use of open source Business Intelligence (BI) tools is becoming more common, but is still not as widespread as for other types of software. It is therefore of interest to explore which possibilities are available for open source BI and compare the tools. In this survey article, we consider the capabilities of a number of open source tools for BI. In the article, we consider a number of Extract-Transform-Load (ETL) tools, database management systems (DBMSs), On-Line Analytical Processing (OLAP) servers, and OLAP clients. We find that, unlike the situation a few years ago, there now exist mature and powerful tools in all these categories. However, the functionality still falls somewhat short of that found in commercial tools. [Article copies are available for purchase from InfoSci-on-Demand.com]

引用

页码：56 / 75

页数：20

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