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Pentaho Data Integration 4 Cookbook

You're reading from   Pentaho Data Integration 4 Cookbook Over 70 recipes to solve ETL problems using Pentaho Kettle

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Product type Paperback
Published in Jun 2011
Publisher Packt
ISBN-13 9781849515245
Length 352 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (17) Chapters Close

Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases FREE CHAPTER 2. Reading and Writing Files 3. Manipulating XML Structures 4. File Management 5. Looking for Data 6. Understanding Data Flows 7. Executing and Reusing Jobs and Transformations 8. Integrating Kettle and the Pentaho Suite 9. Getting the Most Out of Kettle Data Structures Index

Creating a process flow


Suppose that you have a dataset with a list of entities such as people, addresses, products, or names of files, just to give some examples. You need to take that data and perform some further processing such as cleaning the data, discarding the useless rows, or calculating some extra fields. Finally, you have to insert the data into a database and build an Excel sheet containing statistics about the just processed. All of this can be seen as a simple task flow or a process flow. With Kettle, you can easily implement a process flow like this.

Suppose that you have a file with a list of names and dates of birth, for example:

name,birthdate
Paul,31/12/1969
Santiago,15/02/2004
Santiago,15/02/2004
Lourdes,05/08/1994
Isabella
Anna,08/10/1978
Zoe, 15/01/1975

The file may have some duplicates (identical consecutive rows) and some birthdates may be absent. You want to keep only the unique rows and discard the entries of people whose date of birth is missing. Finally, you want...

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