Pentaho Solutions: Business Intelligence And Data Warehousing With Pentaho And Mysql 9780470484326 pdf 下载 txt 阿里云 lit rtf azw3 免费

　　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, sub*ion and automatic distribution The companion

Web site provides complete source code examples, sample data, and

links to related resources.

Introduction.

Part I Getting Started with Pentaho.

　Chapter 1 Quick Start: Pentaho Examples.

　Chapter 2 Prerequisites.

　Chapter 3 Server Installation and Configuration.

　Chapter 4 The Pentaho BI Stack.

Part II Dimensional Modeling and Data Warehouse Design.

　Chapter 5 Example Business Case: World Class Movies.

　Chapter 6 Data Warehouse Primer.

　Chapter 7 Modeling the Business Using Star Schemas.

　Chapter 8 The Data Mart Design Process.

Part III ETL and Data Integration.

　Chapter 9 Pentaho Data Integration Primer.

　Chapter 10 Designing Pentaho Data Integration Solutions.

　Chapter 11 Deploying Pentaho Data Integration Solutions.

Part IV Business Intelligence Applications.

　Chapter 12 The Metadata Layer.

　Chapter 13 Using The Pentaho Reporting Tools.

　Chapter 14 Scheduling, Subscription, and Bursting.

　Chapter 15 OLAP Solutions Using Pentaho Analysis Services.

　Chapter 16 Data Mining with Weka.

　Chapter 17 Building Dashboards.

　 Index.

　　Roland Bouman is an application developer focusing on open

source Web technology, databases, and Business Intelligence. He is

an active member of the MySQL and Pentaho communities, and you can

follow his blog at http://rpbouman.blogspot.com/. Jos van Dongen is

a seasoned Business Intelligence professional and well-known author

and presenter. He speaks regularly at conferences and seminars. You

can find more information about Jos at http://www.tholis.com.

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书籍介绍

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.