文档介绍：UNIVERSITÀ DEGLI STUDI DI PISA
Facoltà di Economia
Facoltà di Scienze, Matematiche, Fisiche e Naturali
Corso di laurea specialistica in Informatica per l’economia e per l’azienda
TESI DI LAUREA
FREE OPEN SOURCE SOFTWARE FOR BUSINESS INTELLIGENCE
RELATORE
Prof. Salvatore RUGGIERI
Candidato
David BALABAN
ANNO ACCADEMICO 2008-09
SUMMARY
Free Open Source Software (FOSS) has recently grown, ing a
significant part of the IT market. We use the word “FOSS” to refer to software
under a license which grants the right to access the source code and use, study,
and change the software. We must not confuse FOSS with “mercial
software”: antonyms of FOSS are “closed” and “proprietary” software.
The first purpose of this paper is to maintain an unbiased position. The
analysis begins with a general overview of the FOSS world and then moves focus
to business intelligence: during the last years, several tools have finally entered
the market, ing petitors to proprietary software.
Although FOSS still needs to grow, a large number panies are already
deploying or at least testing some FOSS solutions. In addition, the research world
has shown interest providing several market surveys and software analyses.
After illustrating the selection criteria used, the paper describes the most
interesting FOSS tools for each of the following business intelligence
subcategories: database management systems (DBMS), data integration tools,
analytical tools and business intelligence suites.
In addition, the FOSS data mining solutions RapidMiner and KNIME are
evaluated and tested on a set of data. Although the two programs are not as
widespread as the proprietary data mining tools, they can be considered actual
competitors to the proprietary software.
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INDEX
1 INTRODUCTION 6
Background Information and Problem Statement 6
Revi