BIBLIOGRAFIA


  • Laberge, Robert (2011) The Data Warehouse mentor. Practical Data Warehouse Business Intelligence Insights .Mc Graw Hill
  • Christopher Adamson (2006) Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance. Wiley. ISBN-13: 978-0471777090.
  • Anahory S. & Murray D. (1997), Data Warehousing in the real world: A practical Guide for Building Decision Support Systems. Addison-Wesley Ed.
  • Jill Dyché & Evan Levy (2006) Customer Data Integration: Reaching a Single Version of the Truth (SAS Institute Inc.). Wiley. ISBN-13: 978-0471916970
  • Franco J. M. (1997) El Data Warehouse. Ed Gestión.
  • Han J. & Kamber M. (2001) Data Mining: Concepts and Techniques. Morgan Kaufmann.
  • Hernández Orallo J., Ramírez Quintana M y Ferri Ramirez C. (2004) “Introducción a la Minería de Datos”. Editorial Pearson Educación SA, Madrid.
  • Inmon, W. (1996), Building the Data Warehouse. 2nd edition. John Wiley & Sons.
  • Inmon W., Zachnman J., & Geiger J. (1997) Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge. McGraw-Hill Series on Data Warehousing and Data Management
  • Maurizio Rafanelli Editor (2003), Multidimensional Databases. Problems and Solutions. Idea Group Inc.


Articulos Utilizados en la cursada 2012

Sen, Arun and Sinha, Atish P. A comparison of Data Warehousing Methodologies Commun. ACM 48, 3 (March 2005), 79-84.

Thilini Ariyachandra and Hugh J. Watson. Which DW Architecture Is Most Successful? Business Intelligence Journal-vol-11-no-1. https://cours.etsmtl.ca/mti820/public_docs/lectures/WhichDWArchitectureIsMostSuccessful.pdf

Hugh J. Watsonand Thilini Ariyachandra Data Warehouse Architectures: Factors in the Selection Decision and the Success of the Architectures. http://www.terry.uga.edu/~hwatson/DW_Architecture_Report.pdf

De este link http://sorayapa.visibli.com/share/BOTSao se tomaron los siguientes:

  • Carlos Baquero, de GMV: Big Data es pura tecnología
  • Alejandro Giménez, CTO de EMC: Big Data no es TIC, es Negocio
  • Josep Curto, de IDC: Big Data es un cambio transgresor y disruptivo