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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

Looking for values by proximity


This chapter is about looking for values in different sources based on given conditions. Those conditions are comparison between fields in your stream and fields in the source that you are looking into. As you know or could see in the rest of the recipes, you usually compare by equality and sometimes you do it by using different operators such as LIKE, NOT EQUAL, <, and so on. What if you need to look for a value that is "more or less" equal to a field in your stream? None of the options you saw in the other recipes will give you the solution to this problem. In these situations, you need to perform a fuzzy search, that is, a search that looks for similar values. Kettle allows you to perform such a search by providing you the Fuzzy match step. In this recipe, you will learn how to use this step.

Suppose that you receive an external text file with book orders and you need to find the prices for these books. The problem is that you don't have the identification...

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