Pentaho Soluti***: Business Intelligence And Data Warehousing With Pentaho And Mysql 9780470484326 pdf 下载 极速 mobi txt pdb lrf 网盘

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内容简介:
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 soluti***
at a fraction of the cost of proprietary soluti***. 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 ***ysis 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 soluti*** 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.
书籍目录:
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 Soluti***.
Chapter 11 Deploying Pentaho Data Integration Soluti***.
Part IV Business Intelligence Applicati***.
Chapter 12 The Metadata Layer.
Chapter 13 Using The Pentaho Reporting Tools.
Chapter 14 Scheduling, Subscription, and Bursting.
Chapter 15 OLAP Soluti*** Using Pentaho Analysis Services.
Chapter 16 Data Mining with Weka.
Chapter 17 Building Dashboards.
Index.
作者介绍:
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 soluti*** at a fraction of the cost of proprietary soluti***. 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 ***ysis 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 soluti*** 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.
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