Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Overview of this book

Pentaho Data Integration (a.k.a. Kettle) is a full-featured open source ETL (Extract, Transform, and Load) solution. Although PDI is a feature-rich tool, effectively capturing, manipulating, cleansing, transferring, and loading data can get complicated.This book is full of practical examples that will help you to take advantage of Pentaho Data Integration's graphical, drag-and-drop design environment. You will quickly get started with Pentaho Data Integration by following the step-by-step guidance in this book. The useful tips in this book will encourage you to exploit powerful features of Pentaho Data Integration and perform ETL operations with ease.Starting with the installation of the PDI software, this book will teach you all the key PDI concepts. Each chapter introduces new features, allowing you to gradually get involved with the tool. First, you will learn to work with plain files, and to do all kinds of data manipulation. Then, the book gives you a primer on databases and teaches you how to work with databases inside PDI. Not only that, you'll be given an introduction to data warehouse concepts and you will learn to load data in a data warehouse. After that, you will learn to implement simple and complex processes.Once you've learned all the basics, you will build a simple datamart that will serve to reinforce all the concepts learned through the book.
Table of Contents (27 chapters)
Pentaho 3.2 Data Integration Beginner's Guide
Credits
Foreword
The Kettle Project
About the Author
About the Reviewers
Preface
Index

Time for action – calculating World Cup statistics by grouping data


Let's forget the examinations for a while, and retake the World Cup tutorial from the previous chapter. The file you obtained from that tutorial was a list of results of football matches. These are sample rows of the final file:

Match Date;Home Team;Away Team;Result
02/06;Italy;France;2-1
02/06;Argentina;Hungary;2-1
06/06;Italy;Hungary;3-1
06/06;Argentina;France;2-1
10/06;France;Hungary;3-1
10/06;Italy;Argentina;1-0
...

Now you want to take that information to obtain some statistics such as the maximum number of goals per match in a given day. To do it, follow these instructions:

  1. Create a new transformation, give it a name and description, and save it.

  2. By using a Text file input step, read the wcup_first_round.txt file you generated in Chapter 2. Give the name and location of the file, check the Content tab to see that everything matches your file, and fill the Fields tab.

  3. Do a preview just to confirm that the step is well configured...