Joseph di Paolantonio , gran conocedor de los sistemas BI Open Source, anuncia en su blog que va ir publicando una serie continua de posts a modo de Guía de Estudio para un sistema DSS, basado principalmente en sistemas Open Source, lo cual promete.
Objetivos que se propone, para explicar que es un sistema DSS:
- Qué siginifica realmente este término.
- Cómo se puede construir un sistema DSS razonable con soluciones Open Source.
- Qué fuentes y recursos tenemos para aprender.
Recursos de partida en los que apoyarse:
1. Bayesian Computation in R by Jim Albert , Springer Series in UseR!, ISBN: 0-38-792297-0, Purchase from Amazon , you can also purchase the Kindle ebook from Amazon
2. R in a Nutshell by Joseph Adler , ISBN: 0-59-68017-0X, Purchase from Amazon
3. Pentaho Solutions; Business Intelligence and Data Warehousing with Pentaho and MySQL , by Roland Bouman and Jos van Dongen , ISBN: 0-47-048432-2, Purchase from Amazon
4. Pentaho Reporting 3.5 for Java Developers by Will Gorman , ISBN: 1-84-719319-6, Purchase from Amazon
5. Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration by Matt Casters , Roland Bouman & Jos van Dongen , ISBN: 0-47-063517-7 due 2010 September, Pre-Order from Amazon
6. Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten and Eibe Frank , Second Edition, Morgan-Kaufmann Series in Data Management Systems, ISBN: 0-12-088407-0 a.k.a. "The Weka Book", Purchase from Amazon , Pre-Order the Third Edition , you can also purchase the Kindle ebook from Amazon
7. LucidDB online documentation
8. Pertinent information from Eigenbase
9. LudidDB mailing list archive on Nabble
10. Anything I can find on PAT
11. Pentaho Community Forums , Wiki , WebEx Events , and other community sources
R Mailing Lists and Forums
12. Various Books in PDF from The R Project
13. Information Management and Open Source Solution Blogs from our side-column linkblogs
