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Pentaho Data Integration Beginner's Guide - Second Edition

You're reading from   Pentaho Data Integration Beginner's Guide - Second Edition Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782165040
Length 502 pages
Edition 2nd Edition
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Author (1):
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María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
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Table of Contents (21) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration FREE CHAPTER 2. Getting Started with Transformations 3. Manipulating Real-world Data 4. Filtering, Searching, and Performing Other Useful Operations with Data 5. Controlling the Flow of Data 6. Transforming Your Data by Coding 7. Transforming the Rowset 8. Working with Databases 9. Performing Advanced Operations with Databases 10. Creating Basic Task Flows 11. Creating Advanced Transformations and Jobs 12. Developing and Implementing a Simple Datamart A. Working with Repositories B. Pan and Kitchen – Launching Transformations and Jobs from the Command Line C. Quick Reference – Steps and Job Entries D. Spoon Shortcuts E. Introducing PDI 5 Features F. Best Practices G. Pop Quiz Answers Index

Time for action – aggregating football matches data with the Row Denormaliser step


Let's now work with the football matches files that you came across in Chapter 2, Getting Started with Transformations, and Chapter 3, Manipulating Real-world data.

In this tutorial, we will calculate the total and average number of goals converted in a match date-wise. You will calculate the numbers for both the USA and for Europe.

  1. Create a new transformation.

  2. Read the football matches files just as you did in the tutorials of Chapter 2, Getting Started with Transformations, and Chapter 3, Manipulating Real-world data. This time, however, we will add a new field. In the Text file input configuration window select the Additional output fields tab.

  3. In the Short filename field textbox, type the word filename.

  4. Do a preview. You should see this:

  5. Add a Split Fields step and create a hop from the Text file input step toward this.

  6. Use the step for splitting the field filename into two fields of type String: region and unused...

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