Book Image

Pentaho Data Integration Cookbook - Second Edition - Second Edition

Book Image

Pentaho Data Integration Cookbook - Second Edition - Second Edition

Overview of this book

Pentaho Data Integration is the premier open source ETL tool, providing easy, fast, and effective ways to move and transform data. While PDI is relatively easy to pick up, it can take time to learn the best practices so you can design your transformations to process data faster and more efficiently. If you are looking for clear and practical recipes that will advance your skills in Kettle, then this is the book for you. Pentaho Data Integration Cookbook Second Edition guides you through the features of explains the Kettle features in detail and provides easy to follow recipes on file management and databases that can throw a curve ball to even the most experienced developers. Pentaho Data Integration Cookbook Second Edition provides updates to the material covered in the first edition as well as new recipes that show you how to use some of the key features of PDI that have been released since the publication of the first edition. You will learn how to work with various data sources – from relational and NoSQL databases, flat files, XML files, and more. The book will also cover best practices that you can take advantage of immediately within your own solutions, like building reusable code, data quality, and plugins that can add even more functionality. Pentaho Data Integration Cookbook Second Edition will provide you with the recipes that cover the common pitfalls that even seasoned developers can find themselves facing. You will also learn how to use various data sources in Kettle as well as advanced features.
Table of Contents (21 chapters)
Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
References
Index

Building a random data sample for Weka


Weka is another open source tool that is officially supported by Pentaho, that focuses on data mining. Like it's cousins R and RapidMiner, Weka provides a library of statistical analysis tools that can be integrated into complex decision making systems. For this recipe, we will go over how to build a random dataset for Weka using Kettle.

Getting ready

We will be using the baseball player salaries data that can be found on the book's website or from Lahman's Baseball Archive website, found at http://www.seanlahman.com/baseball-archive/statistics/. The code for this recipe can also be found on the book's website.

This recipe also takes advantage of the ARFF Output plugin. This is available either via the Marketplace (for Kettle 5 and higher) or from the wiki at http://wiki.pentaho.com/display/EAI/List+of+Available+Pentaho+Data+Integration+Plug-Ins.

How to do it...

Perform the following steps to build a random data sample for Weka:

  1. Create a new transformation...