Matt Casters是一位具有多年工作经验的独立商业智能顾问。他为许多大公司建立了无数个数据仓库和 BI解决方案。在过去的 8年里， Matt Casters把自己的时间都用于研发一个 ETL工具—— Kettle。2005年12月， Kettle成为开源软件。 2006年初期， Kettle走进 Pentaho。随后， Matt就职于 Pentaho，成为数据集成总监。在 Pentaho,他继续从事 Kettle的研发工作。 Matt致力于帮助建设 Kettle社区，回答论坛上的提问，有时在世界会议上发表演讲。博客： http://www.ibridge. be。Twitter：@mattcasters。

Roland Bouman目前从事前台页面和商业智能的研发工作。他从 1998年开始从事 IT行业。多年来一直致力于开源软件的研发，尤其是数据库技术、商业智能以及页面开发框架。同时， Roland Bouman还是 MySQL和Pentaho社区的成员。他经常参加 MySQL使用者会议、 OSCON、 Pentaho社区等国际会议。 Roland Bouman不仅是 MySQL 5.1 Cluster Certification Guide和Pentaho Solutions两本书的合著者之一，也是 MySQL和Pentaho相关书籍的技术评论家。技术博客： http:// rpbouman.blogspot.com。Twitter：@rolandbouman。

Jos van Dongen是一位著名的商业智能专家、作家和演说家。他从 1991年开始从事软件开发、商业智能以及数据仓库等领域的工作。 Jos van Dongen曾先后就职于顶级的系统集成公司和管理咨询公司。 1998，他创立了自己的咨询公司， Tholis Consulting。他为许多商业和福利组织构建了 BI和数据仓库系统。 Jos为丹麦 Database Magazine撰写了新的 BI研发成果，并且经常在国内和国际会议上发言。 Jos van Dongen撰写了一本关于开源 BI的书，并且和 Roland Bouman合作编写了 Pentaho Solutions。更多信息参考： http://www.tholis.com。Twitter：@josvandongen。

A complete guide to Pentaho Kettle, the Pentaho Data lntegration toolset for ETL This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. If you’re a database administrator or developer, you’ll first get up to speed on Kettle basics and how to apply Kettle to create ETL solutions—before progressing to specialized concepts such as clustering, extensibility, and data vault models. Learn how to design and build every phase of an ETL solution. Shows developers and database administrators how to use the open-source Pentaho Kettle for enterprise-level ETL processes (Extracting, Transforming, and Loading data) Assumes no prior knowledge of Kettle or ETL, and brings beginners thoroughly up to speed at their own pace Explains how to get Kettle solutions up and running, then follows the 34 ETL subsystems model, as created by the Kimball Group, to explore the entire ETL lifecycle, including all aspects of data warehousing with Kettle Goes beyond routine tasks to explore how to extend Kettle and scale Kettle solutions using a distributed “cloud” Get the most out of Pentaho Kettle and your data warehousing with this detailed guide—from simple single table data migration to complex multisystem clustered data integration tasks. From the Back Cover The ultimate resource on building and deploying data integration solutions with Kettle Kettle is a scaleable and extensible open source ETL and data integration tool that lets you extract data from databases, flat and XML files, web services, ERP systems, and OLAP cubes. It provides over 120 built-in transformation steps to validate, cleanse, and conform data, as well as numerous options to load data into data warehouses and many other targets. Kettle is a comprehensive, low-cost alternative to traditional data integration tools like Informatica PowerCenter, IBM InfoSphere DataStage, and BusinessObjects Data Integrator. This book explains in detail how to use Kettle to create, test, and deploy your own ETL and data integration solutions. You'll learn to use Kettle's programs to create transformations and jobs, use version control, audit data, and schedule your ETL solution. Then you'll progress to more advanced concepts such as clustering and cloud computing, real-time data integration, loading a Data Vault model, and extending Kettle by building your own plugins. In addition, you'll find hands-on examples and case studies that show exactly how to put Kettle's features into practice. Explore the components of the Kettle ETL toolset

Discover how to install and configure Kettle and connect it to various data sources and targets

Design and build every aspect of an ETL solution using Kettle

Learn how to load a data warehouse with Kettle

Understand the steps for deploying and scheduling ETL solutions

Gain the skills to integrate Kettle with third-party products

Learn to extend Kettle and build your own plugins

Use clustering and cloud computing to scale and improve the performance of your Kettle ETL solutions

Find out how to use Kettle for real-time data integration