Pentaho solutions : business intelligence and data warehousing with Pentaho and MySQL / Roland Bouman, Jos van Dongen.

By: Bouman, Roland
Contributor(s): Dongen, Jos van
Material type: TextText; Format: print Publisher: Indianapolis, IN : Wiley Pub., 2009Description: XLI, 604 p. ; 24 cmISBN: 9780470484326Subject(s): MySQL (Electronic resource) | Data warehousing | Data mining | Pentaho (Programa de ordenador) | MySQL (Recurso electrónico)
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Monografías 03. BIBLIOTECA INGENIERÍA PUERTO REAL
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Manuales 03. BIBLIOTECA INGENIERÍA PUERTO REAL
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TECNOLOGÍAS DE INTELIGENCIA DE NEGOCIO GRADO EN INGENIERÍA INFORMÁTICA

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Your all-in-one resource for using Pentaho with MySQL for Business Intelligence and Data Warehousing Open-source Pentaho provides business intelligence (BI) and data warehousing solutions at a fraction of the cost of proprietary solutions. Now you can take advantage of Pentaho for your business needs with this practical guide written by two major participants in the Pentaho community. The book covers all components of the Pentaho BI Suite. You?ll learn to install, use, and maintain Pentaho-and find plenty of background discussion that will bring you thoroughly up to speed on BI and Pentaho concepts. Of all available open source BI products, Pentaho offers the most comprehensive toolset and is the fastest growing open source product suite Explains how to build and load a data warehouse with Pentaho Kettle for data integration/ETL, manually create JFree (pentaho reporting services) reports using direct SQL queries, and create Mondrian (Pentaho analysis services) cubes and attach them to a JPivot cube browser Review deploying reports, cubes and metadata to the Pentaho platform in order to distribute BI solutions to end-users Shows how to set up scheduling, subscription and automatic distribution The companion Web site provides complete source code examples, sample data, and links to related resources.

Part I: Getting Started with Pentaho -- pt. II: Dimensional Modeling and Data Warehouse Design -- pt. III: ETL and Data Integration -- pt. IV: Business Intelligence Applications.

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