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 total scores by performances by country


Let's work now with the contest file from Chapter 5. You will need the output file for the Hero exercise. Fill gaps in the contest file from that chapter. If you don't have it, you can download it from the Packt website.

In this tutorial, we will calculate the total score for each performance by country.

  1. Create a new transformation.

  2. Read the file with a Text file input step and do a preview to see that the step is well configured. You should see this:

  3. With a Select values step, keep only the following columns: Country, Performance, and totalScore.

  4. With a Sort Rows step sort the data by Country ascendant.

  5. After the Sort Rows step, put a Row denormalizer step.

  6. Double-click this last step to configure it.

  7. As the key field put Performance, and as group fields put Country.

  8. Fill the target fields' grid like shown:

  9. Close the window.

  10. With the Row denormalizer step selected, do a preview. You will see this:

What just happened?

You read the...